Python Developer Jobs in Saudi

<p>Role Overview As an AI &amp; Machine Learning Consultant , you will design, develop, and deploy enterprise-grade AI and Machine Learning solutions that drive business innovation and operational efficiency. You will leverage cloud-native AI services, Generative AI technologies, and advanced MLOps practices to build scalable, production-ready AI systems. Working across the AI lifecycle, you will help transform data into intelligent solutions while ensuring performance, scalability, and business value.</p><p>Key Responsibilities</p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI and analytics services.</li><li>Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management.</li><li>Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business needs.</li><li>Design AI solutions that operate efficiently across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li><li>Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics.</li><li>Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods.</li><li>Work with large-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques.</li><li>Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities.</li><li>Collaborate with cross-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions.</li><li>Ensure AI solutions align with enterprise security, governance, compliance, and Responsible AI requirements.</li><li>Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical disciplines.</li><li>Hands-on experience designing, developing, and deploying AI/ML applications in enterprise environments.</li><li>Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and modern AI development frameworks.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization.</li><li>Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies.</li><li>Experience developing and deploying Generative AI applications, foundation models, and LLM-based solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li><li>Experience implementing AI observability, model monitoring, and production support frameworks.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, Cloud Platforms, or related technologies are preferred.</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Senior AI Engineer Role</h3> <p style="margin:0 0 12px; ************;">Ejada is seeking a <strong style="font-weight:700;">Senior AI Engineer</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to designing, developing, deploying, and optimizing advanced Artificial Intelligence solutions that drive business transformation and innovation initiatives. The successful candidate will provide technical leadership in implementing Machine Learning models, Large Language Models (LLMs), Agentic AI solutions, AI Operations (AIOps), and enterprise-scale AI platforms, ensuring scalability, reliability, security, and measurable business value.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, develop, and deploy AI and Machine Learning solutions to address business and operational challenges.</li> <li style="margin:0 0 6px;">Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and enterprise AI frameworks.</li> <li style="margin:0 0 6px;">Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and knowledge retrieval technologies.</li> <li style="margin:0 0 6px;">Develop Agentic AI solutions utilizing multi-agent frameworks and orchestration platforms.</li> <li style="margin:0 0 6px;">Build, maintain, and optimize APIs and backend services supporting AI-driven applications.</li> <li style="margin:0 0 6px;">Implement and manage AI model deployment, serving, monitoring, and lifecycle management processes.</li> <li style="margin:0 0 6px;">Establish MLOps and AIOps best practices to ensure reliable model delivery and operational excellence.</li> <li style="margin:0 0 6px;">Design and maintain scalable data pipelines, feature engineering workflows, and AI-ready data architectures.</li> <li style="margin:0 0 6px;">Optimize AI inference performance, model serving infrastructure, and resource utilization.</li> <li style="margin:0 0 6px;">Collaborate with business stakeholders, data engineers, architects, and technology teams to identify and implement AI use cases.</li> <li style="margin:0 0 6px;">Implement monitoring, observability, and evaluation frameworks to track AI model quality, performance, and reliability.</li> <li style="margin:0 0 6px;">Support cloud-native AI deployments and infrastructure across public cloud platforms.</li> <li style="margin:0 0 6px;">Provide technical guidance, mentorship, and knowledge sharing to engineering teams.</li> <li style="margin:0 0 6px;">Contribute to AI strategy, architecture standards, governance practices, and innovation initiatives.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Minimum Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's Degree in a relevant field.</li> <li style="margin:0 0 6px;">Professional certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">5 years of experience</strong> in Artificial Intelligence, Machine Learning, Data Engineering, or Software Engineering.</li> <li style="margin:0 0 6px;">Proven experience in designing and deploying AI/ML solutions in enterprise environments.</li> <li style="margin:0 0 6px;">Hands-on experience with LLMs, Generative AI, RAG-based architectures, MLOps practices, and cloud platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Technical Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Proficiency in Python Programming, Advanced SQL, API Development, and integration.</li> <li style="margin:0 0 6px;">Expertise in Large Language Models (OpenAI, Azure OpenAI, Hugging Face), Retrieval-Augmented Generation (RAG), Vector Databases (Qdrant, Pinecone, Chroma), LangChain, LangGraph, and Multi-Agent Systems.</li> <li style="margin:0 0 6px;">Strong skills in Machine Learning, Advanced Analytics, Kubernetes, Docker, CI/CD Pipelines, MLOps, vLLM, Model Serving, and AI Inference Optimization.</li> <li style="margin:0 0 6px;">Experience with Data Engineering Tools (Airflow, Kafka, ETL Pipelines).</li> <li style="margin:0 0 6px;">Experience with Cloud Platforms (AWS, Microsoft Azure, Google Cloud Platform).</li> <li style="margin:0 0 6px;">Familiarity with AI Monitoring and Evaluation Tools (LangFuse, MLflow, Prometheus, Grafana).</li> <li style="margin:0 0 6px;">Knowledge of AI Platform Engineering, AIOps, Enterprise Data Management, and Data Architecture.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Professional Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong analytical and problem-solving capabilities.</li> <li style="margin:0 0 6px;">Excellent troubleshooting skills.</li> <li style="margin:0 0 6px;">Effective communication and stakeholder management abilities.</li> <li style="margin:0 0 6px;">Demonstrated technical leadership.</li> </ul>

<p>Responsible for performing advanced quality assurance activities across the hospital s IT systems, applications, and digital services. The role ensures that software applications and IT services meet predefined quality standards, support clinical excellence, and comply with Saudi healthcare regulatory requirements. This position plays a crucial role in minimizing system failures, improving patient safety through technology, and supporting the hospital s accreditation readiness.</p><p>Ensure work is performed based on approved policies, processes, procedures, and instructions</p><p>Identify opportunities for continuous improvement of systems, processes and practices taking into account leading practices, cost reduction and productivity improvement</p><p>Ensure day-to-day activities are properly performed in line with policies and procedures</p><p>Follow-up on escalated cases/issues of subordinates to ensure they are closed efficiently and in a timely manner</p><p>Align IT DevOps strategies with MOH eHealth initiatives, Vision 2030 digital healthcare goals, and CBAHI/JCI accreditation requirements.</p><p>Ensure operational excellence in IT systems to enhance hospital performance, patient safety, and service availability.</p><p>Implement IT quality assurance frameworks, policies, and procedures across all IT services.</p><p>Conduct functional, integration, regression, and user acceptance testing (UAT) for all hospital IT systems including EMR, HIS, ERP, patient portals, and mobile applications.</p><p>Prepare and maintain detailed test plans, test scripts, and defect reports.</p><p>Validate new releases, patches, and system upgrades before deployment.</p><p>Ensure IT systems adhere to MOH, CBAHI, and JCI accreditation requirements concerning technology service quality.</p><p>Assist in preparing documentation and evidence for internal audits and external regulatory inspections.</p><p>Monitor IT KPIs and contribute to quality reports required for accreditation bodies.</p><p>Participate in root cause analysis (RCA) of IT incidents and system failures.</p><p>Recommend corrective actions to address recurring system issues and service disruptions.</p><p>Proactively identify system risks and suggest preventive actions (CAPA).</p><p>Work closely with IT developers, system analysts, infrastructure teams, and clinical informatics to ensure smooth system performance.</p><p>Coordinate with clinical, nursing, and administrative end-users during testing cycles.</p><p>Act as a quality advocate in IT projects, ensuring user needs and safety considerations are addressed.</p><p>Maintain comprehensive documentation of QA activities, testing outcomes, and system validation logs.</p><p>Develop and update standard operating procedures (SOPs) for IT quality processes.</p><p>Prepare dashboards and performance reports for IT management and quality committees.</p><p><strong>Desired Candidate Profile</strong></p><p>5 7 years of experience in IT quality assurance, preferably in healthcare environments.</p><p>Experience in testing clinical and administrative hospital systems (EMR, HIS, ERP, LIS, PACS).</p><p>Familiarity with Saudi healthcare standards including MOH , CBAHI , JCI , and SFDA .</p><p>Knowledge of test automation tools and modern testing frameworks is an advantage.</p><p>Experience with incident management and service improvement methodologies (RCA, CAPA).</p><p>Bachelor s degree in Computer Science, Information Technology.</p><p>Proficiency in programming languages (e.g., C#, .NET, Java, Python, or equivalent)</p>

<b>Job description </b><div> <div> <p>We are building a new Systems-Level Integration (SLI) team focused on Smart high-performance Inertial Sensors and Systems. As a Machine Learning Engineer in our expanding Riyadh office, you will pioneer the use of Deep Learning to enhance the raw performance of MEMS IMU sensors.<br>In the initial phase of this role, you will focus entirely on software, simulation, and data-driven modeling. You will work with datasets provided by our core engineering team to train models that correct stochastic errors, denoise signals, and improve sensor performance.</p> <p> </p> <strong>What You Will Do</strong> <ul> <li> <p> <strong>Time-Series AI Development:</strong> Design, train, and validate neural networks (CNNs, LSTMs, TCNs, Transformers, etc ) to denoise raw inertial sensors data and fuse them for better performance.</p> </li> <li> <p> <strong>Virtual Sensing:</strong> Develop AI models that enhance MEMS IMU sensor outputs using self-supervised or supervised learning techniques.</p> </li> <li> <p> <strong>Data Pipeline Engineering:</strong> Build robust data processing pipelines to handle massive, high-frequency inertial systems datasets (filtering, normalization, augmentation, and windowing).</p> </li> <li> <p> <strong>Cross-Border Collaboration:</strong> Work closely with the Egypt-based Systems and Firmware teams to ensure your models are designed within the computational limits of edge microcontrollers (TinyML).</p> </li> <li> <p> <strong>Rapid prototyping: </strong>You will be implementing ML algorithms based on published academic research papers.</p> </li> <li> <p> <strong>Research: </strong>You will be required to regularly survey state-of-the-art academic research papers on the intersection of machine learning and inertial systems.</p> </li> <li> <p> <strong>Model Optimization:</strong> Quantize and prune trained PyTorch/TensorFlow models for eventual deployment on resource-constrained embedded targets (e.g., ARM Cortex-M).</p> </li> </ul> <p> </p> </div> </div> Job requirements <div> <div> <strong>(Must-Haves)</strong> <ul> <li> <p> <strong>Education:</strong> BSc or MSc in Computer Engineering, Aerospace Engineering, Electrical/Mechanical Engineering, or a strictly related engineering field.</p> </li> <li> <p> <strong>SCE Membership</strong>: Engineer membership in the Saudi council of engineers (Engineer Grade category) is mandatory for this role.</p> </li> <li> <p> <strong>AI/ML Expertise:</strong> Strong hands-on experience with Deep Learning frameworks (PyTorch preferred) and a solid understanding of training models on <strong>time-series data</strong>.</p> </li> <li> <p> <strong>Coding:</strong> Python proficiency is mandatory, with strong software engineering practices (unit testing, modular code design).</p> </li> <li> <p> <strong>Version Control:</strong> Git proficiency is mandatory.</p> </li> </ul> <strong>The "Nice-to-Haves" (Bonus Points)</strong> <ul> <li> <p> <strong>Sensor Fusion Knowledge:</strong> Familiarity with classical inertial navigation concepts, attitude representations, Extended Kalman Filters (EKF), or AHRS algorithms.</p> </li> <li> <p> <strong>Physics-Informed Neural Networks (PINNs):</strong> Understanding of how to constrain AI models using the laws of physics (e.g., kinematics).</p> </li> <li> <p> <strong>Edge AI:</strong> Experience with machine learning model deployment on Microcontrollers, STM32Cube.AI , or ONNX runtime.</p> </li> </ul> <p> </p> <strong>Why Join Us</strong> <ul> <li> <p>Work on <strong>real-world AI + hardware systems</strong>, not just theoretical models.</p> </li> <li> <p>Be part of a <strong>deep-tech company</strong> building advanced sensing technologies.</p> </li> <li> <p>Collaborate with <strong>highly specialized engineering teams across borders.</strong> </p> </li> <li> <p>Take ownership as a one of the <strong>founding ML engineers in Riyadh.</strong> </p> </li> <li> <p>Grow in an environment that embraces <strong>AI-driven innovation.</strong> </p> </li> </ul> <p> </p> </div> </div> <div> <div></div></div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">CoorB is seeking an <strong style="font-weight:700;">F BIG IP Application Delivery Engineer</strong> to join our team in Jiddah, Makkah, Saudi Arabia. This is a contract position focused on the design, implementation, operation, and optimization of critical application delivery and global traffic management services.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Summary</h3> <p style="margin:0 0 12px; ************;">The successful candidate will be responsible for leveraging F5 BIG-IP LTM and GTM/DNS technologies to ensure business applications maintain high availability, security, performance, and resilience. This role covers both data center and disaster recovery environments, contributing to robust and reliable application connectivity across the organization.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Configure, maintain, and troubleshoot F5 BIG-IP LTM services, including virtual servers, pools, nodes, health monitors, profiles, persistence, SNAT/NAT, and SSL/TLS offloading.</li> <li style="margin:0 0 6px;">Configure and support F5 BIG-IP GTM/DNS services, covering wide IPs, listeners, topology records, load balancing methods, health checks, and DNS-based failover.</li> <li style="margin:0 0 6px;">Develop, test, and maintain iRules to support advanced traffic management, application routing, header manipulation, redirects, and custom application delivery requirements.</li> <li style="margin:0 0 6px;">Troubleshoot application delivery issues related to latency, availability, SSL/TLS certificates, DNS resolution, persistence, routing, and load balancing behavior.</li> <li style="margin:0 0 6px;">Support global server load balancing and disaster recovery failover scenarios across multiple data centers.</li> <li style="margin:0 0 6px;">Monitor platform health, traffic patterns, capacity, SSL certificate expiry, and service availability to ensure stable application delivery.</li> <li style="margin:0 0 6px;">Plan and execute BIG-IP software upgrades, configuration changes, certificate renewals, and high-availability pair maintenance in line with change management processes.</li> <li style="margin:0 0 6px;">Maintain secure configurations, configuration backups, operational documentation, diagrams, and standard operating procedures.</li> <li style="margin:0 0 6px;">Collaborate with application, network, security, infrastructure, and operations teams to deliver reliable and secure application connectivity.</li> <li style="margin:0 0 6px;">Support incident response, root-cause analysis, maintenance windows, DR testing, and continuous service improvement activities.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Cybersecurity, or a related discipline.</li> <li style="margin:0 0 6px;">Minimum of <strong style="font-weight:700;">4 years of experience</strong> in application delivery, load balancing, network services, or infrastructure operations.</li> <li style="margin:0 0 6px;">Demonstrated hands-on production experience with <strong style="font-weight:700;">F5 BIG-IP LTM and GTM/DNS</strong>.</li> <li style="margin:0 0 6px;">Experience supporting enterprise application environments across data center, hybrid, or multi-site infrastructure.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Certifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong understanding of SSL/TLS, DNS, HTTP/HTTPS, TCP/IP, load balancing concepts, health monitoring, and high availability.</li> <li style="margin:0 0 6px;">F5-CTS LTM, F5-CTS GTM/DNS, or equivalent F5 certifications.</li> <li style="margin:0 0 6px;">Experience with iControl REST, automation, scripting, or configuration management tools such as Python or Ansible.</li> <li style="margin:0 0 6px;">Exposure to F5 ASM/WAF or F5 APM integration.</li> <li style="margin:0 0 6px;">Experience supporting SSL certificate lifecycle management and PKI-related activities.</li> <li style="margin:0 0 6px;">Familiarity with SIEM, monitoring, observability, or log analysis platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This is a contract position based in Jiddah, Makkah, Saudi Arabia. The role involves collaboration with various technical teams to ensure seamless application connectivity and performance.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Remote Junior AI Engineer – Computer Vision Location : Remote Employment Type : Full-time (8 hours) Remotely Experience Level : Junior (3+ years) InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.<br> We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.<br> As a Junior Computer Vision Engineer at InnovationTeam , you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments.<br> You will work closely with cross-functional teams to build scalable image and video analytics solutions.<br> This position requires strong expertise in computer vision, deep learning, and software engineering.<br> The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.<br> At InnovationTeam , we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions.<br> The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.<br> · Work on practical, production-grade Computer Vision solutions.<br> · Access to GPU infrastructure and modern AI tooling.<br> · Collaborative, engineering-focused work environment.<br> · Opportunities for growth and advanced AI exposure.<br> · Competitive compensation package.<br> · Develop and train Computer Vision models for image and video analysis.<br> · Implement solutions for object detection, image classification, segmentation, and tracking.<br> · Prepare and manage datasets, including data cleaning, labelling, and augmentation.<br> · Optimize models for GPU performance, inference speed, and scalability.<br> · Deploy AI models into production using APIs and containerized services.<br> · Integrate Computer Vision models with broader AI and analytics platforms.<br> · Collaborate with software engineers, data scientists, and product teams.<br> · Maintain documentation and ensure code quality and reproducibility.<br> Required Skills &amp; Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.<br> · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.<br> · Strong knowledge of Computer Vision concepts and algorithms.<br> · Practical experience with CNN-based models and modern CV architectures.<br> · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).<br> · Experience with object detection and segmentation frameworks (e.<br>g., YOLO, Detectron2).<br> · Understanding of model evaluation, metrics, and performance optimization.<br> · Experience deploying models in cloud or on-prem environments.<br> · Familiarity with Docker and basic MLOps practices.<br> · Excellent English communication skills (written and spoken).<br> Nice to Have · Experience with video analytics or real-time inference.<br> · Exposure to Vision Transformers or multimodal AI.<br> · Experience with GPU-based training and inference.<br> · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).<br> · Background in domains such as healthcare, smart cities, or industrial AI.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About NeoStats</h3> <p style="margin:0 0 12px; ************;">NeoStats is a Data &amp; Analytics firm established in 2022, offering contemporary solutions and end-to-end services. The company's mission is to create lasting competitive advantage for clients by transforming them into world-class, data-driven organizations. Headquartered in the UAE with bases in India and the UK, NeoStats comprises industry veterans who enable structural transformations in analytics through expertise and an end-to-end implementation approach.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role: Senior Data Science Consultant</h3> <p style="margin:0 0 12px; ************;">NeoStats is seeking a Senior Data Science Consultant specializing in Cards Marketing Analytics to join its team in Jeddah, Makkah, Saudi Arabia. This contract role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The consultant will play a pivotal role in delivering actionable insights to client teams.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.</li> <li style="margin:0 0 6px;">Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization.</li> <li style="margin:0 0 6px;">Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights.</li> <li style="margin:0 0 6px;">Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews.</li> <li style="margin:0 0 6px;">Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting.</li> <li style="margin:0 0 6px;">Strong banking experience, particularly with credit card and debit card products.</li> <li style="margin:0 0 6px;">Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics.</li> <li style="margin:0 0 6px;">Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history.</li> <li style="margin:0 0 6px;">Strong understanding of statistical modeling, machine learning, model validation, and performance tracking.</li> <li style="margin:0 0 6px;">Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation.</li> <li style="margin:0 0 6px;">Experience working with marketing, product, risk, and data teams in a banking environment.</li> <li style="margin:0 0 6px;">Demonstrated consulting discipline, including structured problem-solving, ownership, and timely delivery.</li> <li style="margin:0 0 6px;">Comfortable working as a contractor on a client-facing engagement in Saudi Arabia.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Attributes</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Current location in Saudi Arabia, ideally Jeddah.</li> <li style="margin:0 0 6px;">Experience in the Saudi or GCC banking market.</li> <li style="margin:0 0 6px;">Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition.</li> <li style="margin:0 0 6px;">Familiarity with campaign management platforms, CRM systems, or marketing automation tools.</li> <li style="margin:0 0 6px;">Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models.</li> <li style="margin:0 0 6px;">Knowledge of cloud-based data platforms and modern analytics environments.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Context</h3> <p style="margin:0 0 12px; ************;">This role offers the opportunity to contribute to a growing startup environment. The consultant will have ownership over initiatives and specific responsibilities. There will be opportunities for continuous coaching and mentoring through interaction with senior data scientists and AI experts globally. The work environment is dynamic and values contributions.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About NeoStats</h3> <p style="margin:0 0 12px; ************;">NeoStats is a Data &amp; Analytics firm established in 2022, offering contemporary solutions and end-to-end services. The company's mission is to create lasting competitive advantage for clients by transforming them into world-class, data-driven organizations. Headquartered in the UAE with bases in India and the UK, NeoStats comprises industry veterans who enable structural transformations in analytics through expertise and an end-to-end implementation approach.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role: Senior Data Science Consultant</h3> <p style="margin:0 0 12px; ************;">NeoStats is seeking a Senior Data Science Consultant specializing in Cards Marketing Analytics to join its team in Jeddah, Makkah, Saudi Arabia. This contract role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The consultant will play a pivotal role in delivering actionable insights to client teams.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.</li> <li style="margin:0 0 6px;">Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization.</li> <li style="margin:0 0 6px;">Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights.</li> <li style="margin:0 0 6px;">Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews.</li> <li style="margin:0 0 6px;">Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting.</li> <li style="margin:0 0 6px;">Strong banking experience, particularly with credit card and debit card products.</li> <li style="margin:0 0 6px;">Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics.</li> <li style="margin:0 0 6px;">Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history.</li> <li style="margin:0 0 6px;">Strong understanding of statistical modeling, machine learning, model validation, and performance tracking.</li> <li style="margin:0 0 6px;">Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation.</li> <li style="margin:0 0 6px;">Experience working with marketing, product, risk, and data teams in a banking environment.</li> <li style="margin:0 0 6px;">Demonstrated consulting discipline, including structured problem-solving, ownership, and timely delivery.</li> <li style="margin:0 0 6px;">Comfortable working as a contractor on a client-facing engagement in Saudi Arabia.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Attributes</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Current location in Saudi Arabia, ideally Jeddah.</li> <li style="margin:0 0 6px;">Experience in the Saudi or GCC banking market.</li> <li style="margin:0 0 6px;">Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition.</li> <li style="margin:0 0 6px;">Familiarity with campaign management platforms, CRM systems, or marketing automation tools.</li> <li style="margin:0 0 6px;">Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models.</li> <li style="margin:0 0 6px;">Knowledge of cloud-based data platforms and modern analytics environments.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Context</h3> <p style="margin:0 0 12px; ************;">This role offers the opportunity to contribute to a growing startup environment. The consultant will have ownership over initiatives and specific responsibilities. There will be opportunities for continuous coaching and mentoring through interaction with senior data scientists and AI experts globally. The work environment is dynamic and values contributions.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Cybersecurity Senior Engineer will play a critical role in onboarding clients into our Managed Security Services environment, ensuring seamless integration of security logs, data sources, and security solutions into our SIEM and MDR platforms. The engineer will work closely with SOC Analysts, Detection Engineering, Compliance, and Client Success teams to improve visibility, strengthen detection capabilities, and maintain high-quality security telemetry across all customers. This role requires strong technical expertise, excellent troubleshooting skills, and the ability to work in a fast-paced MSSP environment with multiple clients and diverse technologies. Core Responsibilities: Implementation, Configuration and data collection: You will install, configure, and integrate the SIEM, SOAR and XDR solutions with various network and security devices, such as firewalls, intrusion detection systems (IDS), and antivirus systems. Log Management: You will collect, normalize, and analyze security event logs from different sources, including servers, network devices, and applications. This involves developing log collection mechanisms and defining log management processes. Integration of Security Tools: You will integrate various security tools, such as SIEM, threat intelligence platforms, vulnerability scanners, and ticketing systems, with the SOAR platform. This allows for automated data collection, analysis, and response across multiple security tools. System Maintenance and Optimization: You will perform regular maintenance tasks, such as system updates, patching, and upgrades, to ensure the SIEM, SOAR, XDR and other security solutions platforms operate efficiently. You will also conduct performance tuning and optimization to enhance its capabilities. Exploration for new solutions and continuous enhancement: Based on business demands, especially for cloud security, engineer shall be ready to explore and continuously enhance security visibility by scanning the market for new solutions and top-notch technologies. Infrastructure Hardening &amp; Security Engineering: Define and enforce security best practices for log collection and ingestion infrastructure, including agents, collectors, connectors, and secure data transport mechanisms. Client Handling &amp; Communication: Act as the primary senior technical point of contact during log onboarding and integration engagements. Lead client discussions, gather and validate technical requirements, guide onboarding activities, address complex technical queries, provide clear progress updates, and ensure a smooth, professional onboarding experience while strengthening client trust and relationships.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, information technology, cybersecurity, or related field</li><li>3+ years of experience in cybersecurity or related field</li><li>Proficiency in programming languages such as Python, Java, or C++</li><li>Experience with security tools such as SIEM, IDS/IPS, and penetration testing tools</li><li>Understanding of network protocols, firewalls, and encryption techniques</li><li>Certifications such as CISSP, CEH, or CISA are a plus</li><li>Strong problem-solving skills and attention to detail</li><li>Ability to work independently and as part of a team</li><li>Excellent communication and interpersonal skills</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled Cybersecurity Engineer to protect enterprise applications, infrastructure, and cloud environments by implementing robust security controls, identifying vulnerabilities, and responding to security threats. The ideal candidate will have experience with application security, cloud security, identity and access management, vulnerability management, and security automation while ensuring compliance with organizational and industry security standards.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and maintain enterprise security controls across applications, infrastructure, and cloud environments.</li><li>Perform vulnerability assessments, security scans, penetration testing coordination, and risk assessments.</li><li>Secure CI/CD pipelines by integrating automated security scanning tools.</li><li>Monitor, investigate, and respond to security incidents and vulnerabilities.</li><li>Implement identity and access management (IAM) and authentication solutions.</li><li>Configure and manage Web Application Firewalls (WAFs) and cloud-native security services.</li><li>Collaborate with development, DevOps, infrastructure, and compliance teams to implement secure-by-design practices.</li><li>Develop security documentation, policies, standards, and incident response procedures.</li><li>Support compliance initiatives and security audits.</li></ul><p><strong>Must Have Skills</strong></p><ul><li>Experience with Trivy OR Grype OR Snyk OR Prisma Cloud for vulnerability and container image scanning.</li><li>Experience with Gitleaks OR GitGuardian OR TruffleHog for secrets detection and source code security.</li><li>Experience with Burp Suite OR OWASP ZAP OR Nessus OR Acunetix for application security testing and vulnerability assessment.</li><li>Experience with Web Application Firewall (WAF) OR Google Cloud Armor OR AWS WAF OR Azure Web Application Firewall OR Cloudflare WAF .</li><li>Experience with Okta OR Microsoft Entra ID (Azure AD) OR Ping Identity OR Auth0 OR Keycloak for identity and access management.</li><li>Application Security AND Cloud Security AND Identity &amp; Access Management (IAM) AND Vulnerability Management AND Incident Response .</li><li>Knowledge of OWASP Top 10 AND Secure SDLC AND Threat Modeling .</li><li>Experience with Linux AND Networking AND TCP/IP AND DNS AND HTTPS .</li><li>Familiarity with Git AND GitHub OR GitLab OR Bitbucket .</li><li>Strong analytical, troubleshooting, communication, and problem-solving skills.</li></ul><p><strong>Good to Have Skills</strong></p><ul><li>SIEM platforms: Splunk OR Microsoft Sentinel OR QRadar OR Elastic Security .</li><li>Container and Kubernetes security using Docker OR Kubernetes OR OpenShift .</li><li>Cloud platforms: Google Cloud Platform (GCP) OR AWS OR Microsoft Azure .</li><li>Security automation and scripting using Python OR Bash OR PowerShell .</li><li>CI/CD tools: Jenkins OR GitHub Actions OR GitLab CI OR Azure DevOps .</li><li>Compliance frameworks: ISO 27001 OR NIST Cybersecurity Framework OR CIS Controls OR SOC 2 .</li><li>Endpoint protection tools: Microsoft Defender OR CrowdStrike OR SentinelOne .</li><li>Certifications: CompTIA Security+ OR CEH OR GSEC OR CISSP OR CCSP OR Google Professional Cloud Security Engineer .</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Preferred Qualifications</strong></p><ul><li>Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.</li><li>3 11 years of experience in cybersecurity, application security, cloud security, or security engineering.</li><li>Experience securing enterprise applications and cloud-native environments.</li><li>Strong understanding of security architecture, risk management, and security best practices.</li><li>Excellent communication skills and the ability to collaborate effectively with cross-functional teams.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> </p> <b>Job Description</b> <p> </p> <p> </p> Overview <p> </p> <p>We are seeking an experienced AFC Data Analyst to support data-driven decision-making within public transportation systems. The ideal candidate will have deep expertise in analyzing fare collection data, passenger behavior, revenue performance, and system efficiency, with a strong understanding of transportation operations.</p> <p> </p> Your role <p> </p> <p> <b>Data Analysis &amp; Reporting</b> </p> <p> </p> <p>Analyze AFC transaction data (smart cards, mobile tickets, contactless payments) to identify trends in ridership, revenue, and passenger flow.</p> <p>Develop dashboards and reports tracking KPIs such as ridership, fare evasion, peak usage, and revenue leakage.</p> <p>Perform data validation and quality checks to ensure integrity of AFC datasets.</p> <p> </p> <p> <b>Transportation Insights</b> </p> <p> </p> <p>Provide insights into passenger travel patterns, route performance, and network utilization.</p> <p>Support planning teams with demand forecasting and capacity planning.</p> <p>Analyze multimodal integration (bus, metro, tram) using AFC data.</p> <p> </p> <p> <b>Advanced Analytics</b> </p> <p> </p> <p>Build predictive models for ridership forecasting, fare optimization, and demand analysis.</p> <p>Apply statistical techniques and machine learning where applicable.</p> <p>Conduct scenario analysis to support policy or fare structure changes.</p> <p> </p> <p> <b>System &amp; Data Management</b> </p> <p> </p> <p>Work with AFC system vendors and internal IT teams to manage data pipelines and integrations.</p> <p>Extract, transform, and load (ETL) large datasets from AFC systems and data warehouses.</p> <p>Ensure compliance with data governance and security standards.</p> <p> </p> <p> <b>Stakeholder Collaboration</b> </p> <p> </p> <p>Collaborate with operations, finance, and planning teams to translate data into actionable insights.</p> <p>Present findings and recommendations to senior stakeholders and leadership.</p> <p>Support audits and regulatory reporting requirements.</p> <p> </p> About you <p> </p> <p> <b>Education</b> </p> <p> </p> <ul> <li>Bachelor s degree in Data Science, Statistics, Computer Science, Transportation Engineering, or related field.</li> <li>Master s degree preferred.</li> </ul> <p> </p> <p> <b>Experience</b> </p> <p> </p> <ul> <li>10+ years of experience in data analysis, ideally within public transportation or mobility sectors.</li> <li>Proven experience working with AFC systems (e.g., Cubic, Thales, Scheidt &amp; Bachmann, etc.).</li> </ul> <p> </p> <p> <b>Technical Skills</b> </p> <p> </p> <ul> <li>Strong proficiency in:<p>SQL (advanced level).</p> <p>Python or R for data analysis.</p> <p>Data visualization tools (Power BI, Tableau).</p> </li> <li>Experience with:<p>Big data platforms (e.g., Hadoop, Spark) is a plus.</p> <p>GIS tools (ArcGIS/QGIS) for spatial analysis.</p> <p>ETL tools and data warehousing concepts.</p> </li> </ul> <p> </p> <p> <b>Domain Knowledge</b> </p> <p> </p> <ul> <li>Strong understanding of:</li> <li>Public transportation operations.</li> <li>Fare structures and ticketing systems.</li> <li>Transit KPIs and performance metrics.</li> </ul> <p> </p> <p> <b>Soft Skills</b> </p> <p> </p> <ul> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and storytelling with data.</li> <li>Ability to work cross-functionally in complex environments.</li> </ul> <p> </p> <p> <b>Preferred Qualifications</b> </p> <p> </p> <ul> <li>Experience in smart mobility or digital ticketing transformation projects.</li> <li>Knowledge of contactless EMV payment systems.</li> <li>Familiarity with real-time data analytics in transportation.</li> <li>Experience in large-scale metro, rail, or bus network environments.</li> </ul> <p> </p> Rewards &amp; benefits <p> </p> <p>Explore the rewards and benefits that help you thrive at every stage of your life and your career.</p> <p>This includes:</p> <p> </p> <ul> <li>Tax-free salary.</li> <li>Life insurance coverage.</li> <li>Medical insurance.</li> <li>Annual leave balance.</li> <li>Company gratuity scheme.</li> <li>Discretionary bonus program.</li> <li>Annual flight contribution.</li> <li>Transportation &amp; housing allowances.</li> <li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul></div></section>

<p>The position will support and expand our portfolio of regional (GCC) and global clients by serving as a strategic partner and trusted advisor. The role is responsible for delivering high-quality analytical insights, guiding clients in leveraging data effectively, and influencing key business decisions. The ideal candidate will bring strong expertise in predictive modelling, statistical analysis, and data interpretation, combined with solid business acumen. They will be proficient in transforming complex analytical results into clear, actionable recommendations while managing and strengthening long-term client relationships. Exceptional communication, stakeholder management, and consultative skills are essential.</p><p>Core Responsibilities and Accountabilities:</p><ul><li>Manage deliverable development and workstreams on projects across a range of industries and problem statements.</li><li>Contribute to and/or develop strategies and programs for regional and global clients by leveraging data science tools including Test &amp; Learn.</li><li>Manage working relationship with client managers and function as a trusted and reliable partner.</li><li>Provide analytical and technical subject matter expertise and drive client success through Test &amp; Learn adoption and competency.</li><li>Develop sound business recommendations and deliver effective client presentations.</li><li>Plan, organise, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems using Test &amp; Learn, synthesize analyses into relevant findings, and create impactful storylines.</li><li>Contribute to the firm's intellectual capital and solution development.</li></ul><p>Knowledge and Experience:</p><ul><li>8-10 years' experience in predictive modelling and advanced data analysis, with the ability to design, implement, and validate analytical models to support business decision-making.</li><li>Strong proficiency in SQL and Python for data extraction, transformation, analysis, and automation; experience with SAS is a valuable advantage.</li><li>Proven ability to interpret complex analytical outputs, synthesize findings, and translate them into clear, actionable business recommendations.</li><li>Skilled in collaborating with cross-functional teams to understand business requirements, define analytical approaches, and ensure insights are aligned with client objectives.</li><li>The ability to present insights and drive data-driven conclusions to senior stakeholders, supporting strategic planning and operational improvement initiatives.</li></ul><p>Mandatory Skills:</p><ul><li>Bachelor's degree in Finance, Economics, Business Administration, Computer Science, Information Technology, or a related field (Master's preferred).</li><li>Previous experience within Banking, Digital Payment &amp; Card solutions or the FinTech industry.</li><li>Regional experience, including working in a faced-paced matrix organisation.</li><li>Excellent communication skills in English (written, verbal, and presentation); Arabic preferred.</li></ul><p>Preferred Skills:</p><ul><li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li><li>An understanding of regional regulations across financial services or payment networks.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Finance, Economics, Business Administration, Computer Science, Information Technology, or a related field (Master's preferred).</li><li>Previous experience within Banking, Digital Payment &amp; Card solutions or the FinTech industry.</li><li>Regional experience, including working in a faced-paced matrix organisation.</li><li>Excellent communication skills in English (written, verbal, and presentation); Arabic preferred.</li><li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li><li>An understanding of regional regulations across financial services or payment networks.</li></ul>

<p>As an AI &amp; Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations solve business challenges through advanced analytics, automation, and Generative AI technologies. You will leverage cloud-based AI services, modern engineering practices, and scalable data platforms to deliver innovative, production-ready solutions while supporting the full AI lifecycle from data preparation through model deployment and optimization.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI platforms and services.</li><li>Build and maintain scalable data pipelines to support data ingestion, feature engineering, model training, deployment, and production operations.</li><li>Implement DevOps and MLOps practices to automate model development, deployment, monitoring, and lifecycle management.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business and technical requirements.</li><li>Assess business needs, data availability, and infrastructure constraints to recommend and implement AI solutions that deliver measurable outcomes.</li><li>Support AI workloads across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures.</li><li>Conduct research and experimentation on emerging AI technologies, algorithms, models, and simulation techniques to solve complex business problems.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li><li>Implement and maintain efficient data, model, and knowledge storage solutions to support scalable AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to design, develop, and deploy enterprise-grade AI solutions.</li><li>Evaluate model performance and communicate the quality, effectiveness, and business value of AI solutions to stakeholders.</li><li>Ensure AI solutions comply with enterprise security, governance, and Responsible AI standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.</li><li>Hands-on experience designing and deploying AI/ML solutions in enterprise or consulting environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment and operationalization.</li><li>Strong understanding of data preprocessing, model evaluation, optimization, and performance tuning techniques.</li><li><strong>Preferred Qualifications</strong></li><li>Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li><li>Experience implementing AI observability, model monitoring, and production support capabilities.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.</li></ul>

<p>As an AI &amp; Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations unlock business value through advanced analytics and intelligent automation. You will work across the AI development lifecycle, leveraging cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver innovative, production-ready solutions. This role combines technical expertise, problem-solving, and collaboration to accelerate AI adoption and drive business outcomes.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using cloud-native AI platforms, services, and modern development frameworks.</li><li>Build and maintain scalable data pipelines to support data ingestion, model training, deployment, monitoring, and production operations.</li><li>Apply DevOps and MLOps practices to automate and optimize model development, deployment, versioning, and lifecycle management.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements.</li><li>Assess business needs, data availability, and infrastructure requirements to recommend and implement effective AI solutions.</li><li>Support AI deployments across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures where applicable.</li><li>Conduct research and experimentation on emerging AI technologies, algorithms, simulation techniques, and advanced analytical methods.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li><li>Design and maintain efficient data, model, and knowledge storage solutions that enable scalable AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, solution architects, and business stakeholders to design and deliver enterprise-grade AI solutions.</li><li>Evaluate model performance and communicate solution quality, scalability, and business value through measurable outcomes.</li><li>Ensure AI solutions adhere to security, governance, compliance, and Responsible AI standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Analytics, Data Engineering, or related technical disciplines.</li><li>Hands-on experience developing, testing, and deploying AI/ML solutions in enterprise environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics techniques.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building scalable data pipelines and supporting MLOps practices for model deployment and operations.</li><li>Strong understanding of data preprocessing, feature engineering, model evaluation, and performance optimization methodologies.</li><li>Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing model monitoring, observability, and production support processes.</li><li>Strong analytical thinking, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Technologies are preferred.</li></ul>

<p>Role Overview As an AI &amp; Machine Learning Consultant , you will design, build, and deploy innovative Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations solve complex business challenges. You will leverage cloud-native AI services, Generative AI technologies, and modern engineering practices to develop scalable, production-ready solutions. Working across the full AI lifecycle, you will transform data into intelligent applications while driving innovation through advanced analytics, model development, and AI research initiatives.</p><p>Key Responsibilities</p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-based AI platforms and services.</li><li>Build and maintain scalable data pipelines that support data ingestion, model training, deployment, and production operations.</li><li>Implement DevOps and MLOps practices to automate and streamline model development, deployment, monitoring, and maintenance.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements.</li><li>Evaluate business needs, data availability, and infrastructure constraints to design effective AI solutions that deliver measurable value.</li><li>Support the development of AI applications across cloud, edge computing, and High-Performance Computing (HPC) environments.</li><li>Conduct research and experimentation on emerging AI techniques, algorithms, models, and advanced analytical approaches.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve solution quality.</li><li>Design and maintain efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to develop scalable and production-ready AI solutions.</li><li>Monitor model performance and support continuous improvements to ensure reliability, scalability, and business impact.</li><li>Ensure compliance with enterprise security, governance, and Responsible AI standards throughout the AI development lifecycle.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.</li><li>Hands-on experience developing and deploying AI/ML solutions in enterprise or consulting environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building data pipelines and supporting MLOps practices for model deployment and lifecycle management.</li><li>Strong understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.</li><li>Experience developing and deploying Generative AI, LLM, or intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing model monitoring, observability, and AI operational support capabilities.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Rackspace Technology and the Role</h3> <p style="margin:0 0 12px; ************;">Rackspace Technology is a leading provider of end-to-end hybrid cloud and AI solutions, designing, building, and operating cloud environments across major technology platforms. We are seeking a <strong style="font-weight:700;">Senior OpenStack Engineer</strong> to join our Professional Services team in Riyadh, KSA. This full-time, on-site position involves supporting a long-term, high-value engagement focused on managing and optimizing a production-grade OpenStack private cloud environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Expectations</h3> <p style="margin:0 0 12px; ************;">The Senior OpenStack Engineer will be responsible for ensuring the stability, performance, and continuous improvement of critical cloud infrastructure for our customer. This role operates within compliance-driven, high-security environments and requires close collaboration with cross-functional teams. Candidates are expected to proactively identify potential challenges, advise on pitfalls, and propose alternative solutions to enhance the stability and security of the customer's cloud solution. A minimum of <strong style="font-weight:700;">5-10 years</strong> of relevant experience is required.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Support, deploy, and manage OpenStack-based private cloud infrastructure, including configuring and maintaining services such as Nova, Neutron, Cinder, and Keystone.</li> <li style="margin:0 0 6px;">Implement and manage Kubernetes clusters for container orchestration, deploying and maintaining applications within these environments.</li> <li style="margin:0 0 6px;">Integrate OpenStack and Kubernetes technologies to ensure seamless operation, and develop automation scripts and tools for provisioning, monitoring, and scaling cloud resources.</li> <li style="margin:0 0 6px;">Monitor system performance, optimize configurations for efficiency, and troubleshoot issues in OpenStack and Kubernetes environments, including SDN OVN networking and performance benchmarking.</li> <li style="margin:0 0 6px;">Implement security best practices, ensure compliance, and manage access controls, authentication, and authorization mechanisms within cloud setups.</li> <li style="margin:0 0 6px;">Create and maintain technical documentation, including system configurations and operational procedures, and generate regular reports on system performance, capacity, and utilization.</li> <li style="margin:0 0 6px;">Collaborate with cross-functional teams and provide technical support for cloud and container environments.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.</li> <li style="margin:0 0 6px;">Strong experience in Linux system administration and proficiency with scripting languages (*, Python, Bash) for automation and management tasks.</li> <li style="margin:0 0 6px;">Hands-on experience with OpenStack deployment, configuration, and management.</li> <li style="margin:0 0 6px;">Knowledge of Software Defined Storage systems, such as Ceph.</li> <li style="margin:0 0 6px;">Understanding of cloud-native principles.</li> <li style="margin:0 0 6px;">Excellent troubleshooting, problem-solving, and communication skills.</li> <li style="margin:0 0 6px;">Prior experience in a customer-facing support role.</li> <li style="margin:0 0 6px;">Relevant certifications such as Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE), or Certified OpenStack Administrator (COA).</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Knowledge</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Familiarity with other cloud platforms including VMWare, AWS, Azure, or GCP.</li> <li style="margin:0 0 6px;">Experience with software-defined networking (SDN) solutions in cloud environments.</li> <li style="margin:0 0 6px;">Knowledge of infrastructure as code (IaC) tools like Terraform or Ansible for provisioning and configuration management.</li> <li style="margin:0 0 6px;">Understanding of Canonical OpenStack, Juju, and Lxd containers, as well as advanced OpenStack services like Octavia, Designate, and Masakari.</li> <li style="margin:0 0 6px;">Knowledge of Charmed Kubernetes.</li> <li style="margin:0 0 6px;">Familiarity with Elastic search, Logstash, and Kibana monitoring stacks.</li> <li style="margin:0 0 6px;">Knowledge of CIS benchmarking.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This position is permanently on-site in Riyadh, KSA. Rackspace Technology is recognized as a best place to work by Glassdoor, Newsweek, and Forbes, attracting world-class talent to deliver a Fanatical Experience™ for its customers.</p>

<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><p>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</p><p>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</p><p>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</p><p>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</p>What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.</p>How it works Apply Pass qualification(s) Join a project Complete tasks Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Compensation: Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks up to the equivalent of $200/hr . Because payment is per task, a faster pace raises your effective hourly rate.<p><strong>Desired Candidate Profile</strong></p><p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate</p><p>8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+</p>

<p>As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you'll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -&gt; 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you'll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to:</p><p>Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.</p><p>Build and lead a team of forward deployed engineers within the region.</p><p>Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.</p><p>Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.</p><p>Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.</p><p>Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.</p><p>Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.</p><p>Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.</p><p>Scope out potential applications in new industries and expand our AI solutions across different sectors globally.</p><p>Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.</p><p>Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.</p><p><strong>Desired Candidate Profile</strong></p><p>Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations.</p><p>People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture.</p><p>Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.</p><p>Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.</p><p>Technical aptitude to quickly understand our voice and audio AI models and their applications.</p><p>Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact.</p><p>Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Jackson Green Recruitment is seeking a <strong style="font-weight:700;">Principal Senior AI Research Engineer</strong> for a full-time position in Riyadh, Saudi Arabia. This is a frontier-level individual contributor role with a focus on advanced AI systems for energy. The successful candidate will join a Saudi technology and engineering company that develops advanced systems across artificial intelligence, energy, critical infrastructure, security, and industrial technology.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Scope</h3> <p style="margin:0 0 12px; ************;">This position is designed to help establish and lead the technical direction of a frontier AI research program, specifically as a Principal AI Research Engineer specializing in Energy Systems. The role is distinct from conventional machine learning engineering, operating at the intersection of advanced research, scientific computing, energy-system intelligence, and large-scale AI engineering. The company is expanding its operations with a multidisciplinary AI laboratory in Europe, bringing together advanced AI researchers, mathematicians, energy specialists, AI engineers, and software developers.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Define and lead research programs at the intersection of artificial intelligence, applied mathematics, scientific computing, and energy systems.</li> <li style="margin:0 0 6px;">Develop novel architectures, algorithms, training strategies, and evaluation methodologies for complex energy and industrial problems.</li> <li style="margin:0 0 6px;">Research advanced approaches including physics-informed neural networks, graph neural networks, neural operators, probabilistic modelling, representation learning, reinforcement learning, control-aware learning, and foundation models for time-series and sensor data.</li> <li style="margin:0 0 6px;">Design scientifically rigorous experiments, benchmarks, ablation studies, and validation protocols.</li> <li style="margin:0 0 6px;">Translate successful research into reliable prototypes and production-grade AI systems.</li> <li style="margin:0 0 6px;">Lead and mentor AI research engineers, machine learning engineers, and supporting AI engineers.</li> <li style="margin:0 0 6px;">Help shape long-term AI research strategy, compute strategy, and technical roadmap.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Skills</h3> <p style="margin:0 0 12px; ************;">Candidates should possess over <strong style="font-weight:700;">10 years of experience</strong> in a relevant field. The role requires the ability to investigate new AI methodologies, build experimental systems, and validate them against real-world energy data. A key aspect involves leading the transition of successful research into secure, production-grade solutions deployed on private GPU infrastructure. The Principal Senior AI Research Engineer will also serve as a technical leader, mentoring team members and setting scientific and engineering standards.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Environment</h3> <p style="margin:0 0 12px; ************;">The technical stack is evolving, and the successful candidate will significantly influence its direction. Current technologies include:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Programming languages and frameworks: Python, PyTorch , JAX.</li> <li style="margin:0 0 6px;">Data science libraries: NumPy, SciPy, Pandas, Polars, scikit-learn, XGBoost, LightGBM.</li> <li style="margin:0 0 6px;">Specialized AI tools: PyTorch Geometric or equivalent graph-learning frameworks, probabilistic programming, Bayesian modelling tools, optimization frameworks (*, Pyomo, CVXPY, OR-Tools).</li> <li style="margin:0 0 6px;">MLOps and infrastructure: MLflow for experiment tracking, model lineage, and registry management; Kubeflow Trainer and Kubeflow Pipelines.</li> <li style="margin:0 0 6px;">Development practices: Git, modern code-review workflows, CI/CD for AI and scientific-computing workloads, data and model versioning, automated evaluation, and regression testing.</li> </ul> <p style="margin:0 0 12px; ************;">While not expected to have used every listed technology, candidates must demonstrate deep expertise in the underlying principles and the ability to rapidly evaluate and adopt appropriate tools.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Type and Location</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, Saudi Arabia. The role requires a minimum of 10 years of relevant experience.</p>

<p>As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.</li><li>Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Cloud Composer(Airflow)</li><li>Building distributed systems and data stores</li><li>Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration</li><li>Configuration of Google Cloud Platform services</li><li>Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).</li><li>Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.</li><li>Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.</li><li>Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.</li><li>Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.</li><li>Stay updated on emerging technologies and best practices in data engineering, including cloudnative solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.</li><li>Solid knowledge of Google s BigQuery for effective data processing</li><li>Proposing and implementing repetitive tasks automation.</li><li>Providing support for development teams in deployment-related topics.</li><li>Modernizing data lakes and data warehouses</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree in Computer Science, IT, or similar field; a Master s is a plus. Previous experience as a data engineer or in a similar role. Google Cloud Platform is preferrable. Technical expertise with data models, data mining, and segmentation techniques. Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases. Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery). Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast paced environment and manage multiple priorities. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross functional teams and stakeholders. Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus.</p>