Machine operator Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Position: Engineer / Sr. Engineer / Geologist / Operator / Technician</p><p>Location: Middle East</p><p>Required Bachelor Degree / Diploma in Engineering with Min 7+ years of relevant experience in Mining, Fertiliser, Phosphate Industry.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Fertilizer, Phophate, Mining</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: AI / ML Engineer Job Title: AI / ML Engineer Experience: 3 11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable. Key Responsibilities Design, develop, train, and deploy machine learning and deep learning models for enterprise applications. Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment. Develop Generative AI and LLM-powered applications using modern AI frameworks. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions. Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security. Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation. Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. Stay current with advancements in AI, machine learning, and cloud AI services. Required Technical Skills Cloud AI Platforms Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker . Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions. Experience with BigQuery ML and Dataflow for data processing and machine learning workflows. Programming &amp; Machine Learning Strong proficiency in Python . Experience developing machine learning solutions using TensorFlow or PyTorch . Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts. Generative AI &amp; LLM Frameworks Experience with Hugging Face and LangChain for building LLM-powered applications. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred. Data Engineering &amp; Analytics Experience with Databricks for data engineering, model development, and analytics workflows. Strong understanding of data preprocessing, feature engineering, and large-scale data processing. MLOps &amp; Deployment Experience deploying machine learning models into production. Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 11 years of professional experience in AI, Machine Learning, or Data Science. Strong analytical, mathematical, and problem-solving skills. Experience working in Agile development environments. Excellent communication and collaboration skills. Preferred Skills Experience with Large Language Models (LLMs) and Generative AI applications. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents. Experience with distributed model training and cloud-native AI architectures. Cloud certifications in AWS, Azure, or Google Cloud are a plus. Key Technology Stack Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs) Data Processing: BigQuery ML and Dataflow and Databricks Programming: Python Machine Learning Frameworks: TensorFlow or PyTorch LLM Frameworks: Hugging Face or LangChain MLOps: Docker and Kubernetes and CI/CD (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</p><p>3 11 years of professional experience in AI, Machine Learning, or Data Science.</p><p>Strong analytical, mathematical, and problem-solving skills.</p><p>Experience working in Agile development environments.</p><p>Excellent communication and collaboration skills.</p><h2>Preferred Skills</h2><p>Experience with Large Language Models (LLMs) and Generative AI applications.</p><p>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</p><p>Experience with distributed model training and cloud-native AI architectures.</p><p>Cloud certifications in AWS, Azure, or Google Cloud are a plus.</p><p></p></section>

<b>Join Nineti as a General Manager and take your career to the next level!</b><br><br>Location: Saudi Arabia (Jubail Industrial City / Riyadh)<br><br>Are you a commercially driven operator with deep roots in the Saudi contracting and transport sectors? We are seeking an entrepreneurial General Manager / Business Partner to take full P&amp;L ownership and aggressively scale a high-potential business across the Eastern Province and Riyadh.<br><br><b>THE ROLE &amp; MANDATE:</b><br>You will be the commercial and operational engine of the business, partnering with the board to drive market expansion, client acquisition, and execution excellence across:<ul><li>Sand &amp; clinker transport and fleet operations</li><li>Excavation, backfilling, and site preparation</li><li>Asphalt, civil, and electrical works</li><li>Maintenance services</li></ul><br><b>WHAT YOU WILL DO:</b><ul><li>Drive Commercial Growth by securing new projects and long-term contracts.</li><li>Lead Operations by overseeing end-to-end site execution.</li><li>Optimize Fleets for profitability and deployment of heavy transport logistics.</li><li>Control the Bottom Line with rigorous cost control.</li><li>Build the Network by leveraging existing relationships to capture market share.</li></ul><br><b>? WHO YOU ARE:</b><ul><li>The Rainmaker with an actionable network in KSA’s construction sector.</li><li>The Operator with deep understanding of site realities and pricing.</li><li>The Entrepreneur with a high-ownership mindset.</li><li>The Leader who builds high-performing teams.</li></ul>

About Brewbotics<br><br>Brewbotics is a Saudi food-tech startup building the next generation of autonomous food and beverage technology.<br>Our flagship brand, Brewzy, combines specialty coffee, robotics, IoT, AI, and software to create a fully connected self-service coffee experience.<br> We are rapidly expanding across Saudi Arabia and are building the technology platform that will power hundreds of smart machines.<br>We're looking for our Founding Software Engineer—the first engineering hire who will work directly with the CEO to build the company's entire software ecosystem from the ground up.<br>This is not a maintenance role. This is a builder's role.<br><br><br>●About the Role<br><br>As the Founding Software Engineer, you will own the technical foundation of Brewbotics.<br>You will be responsible for designing, building, and scaling our software products, data infrastructure, and internal technology systems.<br>You will have significant autonomy, influence key technical decisions, and help shape the future engineering team.<br><br>● What You'll Build<br><br>○ App development:<br>- Lead the development and launch of App.<br>- Build customer-facing mobile applications.<br>- Develop unique features.<br>- Implement user authentication and payments.<br>- Integrate machine locator and customer notifications.<br><br>○ Cloud Platform:<br>Design scalable backend architecture.<br>Build secure APIs.<br>Manage databases and cloud infrastructure.<br>Implement CI/CD pipelines.<br>Ensure system reliability and security.<br><br>○ Machine Connectivity (IoT):<br>Integrate Brewzy vending machines with cloud services.<br>Collect and process machine telemetry.<br>Build remote monitoring tools.<br>Develop real-time machine health dashboards.<br>Improve machine uptime through software.<br><br>○ Data & Analytics:<br>Build the company's data platform.<br>Design dashboards for operations, finance, and management.<br>Track machine performance, sales, inventory, and customer behavior.<br>Develop reporting tools that improve operational efficiency.<br><br>○ Internal Systems<br>Build internal web applications for operations.<br>Automate repetitive business processes.<br>Develop tools for warehouse, maintenance, and customer support teams.<br><br>○ AI & Automation<br>Help introduce AI across the company by building features such as:<br>Predictive maintenance<br>Demand forecasting<br>Inventory optimization<br>Smart refill planning<br>AI-powered business insights<br><br><br>● What We're Looking For?<br><br>We care more about what you've built than where you've worked.<br>You should enjoy solving difficult problems and building products from scratch.<br><br>○ Required<br>- 5+ years of software engineering experience<br>- Strong full-stack development experience<br>- Experience building production web applications<br>- Experience building scalable backend systems<br>- Strong database design skills<br>- Experience with cloud platforms (AWS, Azure, or GCP)<br>- Experience working with REST APIs<br>- Strong problem-solving skills<br>- Excellent communication<br>- Fluent in English<br><br><br>○Bonus Point:<br>- Previously worked at an early-stage startup<br>- Built products from zero to launch<br>- Experience with connected devices or IoT<br>- Experience leading technical decisions<br>- Experience mentoring engineers

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Overview: Responsible for supporting the strategic planning and delivery of Qiddiya's Motorsport portfolio across events, IP partnerships, and operator appointment initiatives.<br> The role contributes to the development of business cases, strategic analyses, and cross-functional programmes while coordinating with internal stakeholders and external partners to support the successful planning, and execution of motorsport assets in line with Qiddiya's long-term vision.<br> Key Responsibilties: - Support the strategic development and delivery of Qiddiya Motorsport assets across Motorsport Events, IP partnerships and Operator Appointment.<br> - Support the development of feasibility studies, business cases and financial assessments for new motorsport initiatives, events, partnerships and asset developments, including market research, demand analysis and financial modelling.<br> - Coordinate cross-functional projects involving Development, Asset Management, Procurement, Legal, Finance and external consultants to ensure programme milestones are achieved.<br> - Support operator procurement activities, including preparation of RFP documentation, governance papers, evaluation processes and operator mobilisation programmes.<br> - Assist in the management of international motorsport events and rights holder relationships, supporting event planning, operational readiness and commercial coordination.<br> - Support the management of strategic IP partnerships and commercial initiatives, monitoring contractual obligations, partner deliverables and activation programmes.<br> - Prepare high-quality presentations, reports, business cases and Executive Committee materials to support strategic decision-making.<br> - Maintain programme plans, action trackers, risk registers and governance documentation, ensuring accurate reporting and timely delivery.<br> - Build and maintain effective relationships with internal stakeholders and external partners to support the successful delivery of the Motorsport Strategy.<br> - Bachelor's degree in Business Administration, Finance or related fields.<br> - A minimum of 4 years of experience in strategy, management consulting, motorsport, sports, entertainment, destination development, or a related field.<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Key Responsibilities:</strong></p> <ul> <li>Perform machining, welding, brazing, soldering, and metal fabrication on aircraft components</li> <li>Conduct drilling, cutting, shaping, planing, and modification of parts using machine shop equipment</li> <li>Set up, align, operate, maintain, and preserve manual and automated machining and welding equipment</li> <li>Fabricate, repair, rework, and modify aircraft parts and components</li> <li>Interpret technical drawings, schematics, and specifications</li> <li>Ensure all work meets required tolerances, quality standards, and safety procedures</li> <li>Support maintenance operations with precision machining and structural repair work</li> <li>Maintain tools, equipment, and work areas in compliance with safety regulations</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Minimum Requirements:</strong></p> <ul> <li>High School Diploma or equivalent (required)</li> <li>Graduate of U.S. Army Aviation Allied Trades Course (91E), or equivalent military/commercial welding, machining, or metalworking training</li> <li>Experience aligned with SCA Aerospace Structural Welder (23010) and Machinist, Maintenance (23550)</li> <li>Minimum four (4) years of supervisory experience or civilian journeyman equivalent</li> <li>Layout, setup, alignment, operation, maintenance and preservation of manual and automatically operated tools, equipment, and machines used in machine shop and welding, brazing, soldering, cutting tools, equipment, and machines.</li> <li>Performs drilling, cutting, shaping, planning, and other fabrication, repair, rework, and modification operations with machines, equipment, and tools common to aircraft machine shops.</li> <li>Must pass the Jaeger Eye Exam every 2 years.</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Key Responsibilities:</strong></p> <ul> <li>Perform spectrometric oil analysis on samples using appropriate testing methods.</li> <li>Receive, record, prioritize, and prepare oil and other liquid samples for analysis.</li> <li>Analyze test results and identify abnormal wear, contamination, or other issues.</li> <li>Transfer and maintain accurate test data in master data systems.</li> <li>Notify leadership and quality control personnel of results exceeding established thresholds.</li> <li>Perform in-house calibration of tools and test equipment, including adjustments, minor repairs, and maintenance.</li> <li>Maintain records of all equipment requiring calibration and ensure compliance with schedules.</li> <li>Support calibration programs, systems, and subsystems.</li> <li>Utilize and interpret military and civilian publications related to oil analysis and calibration programs.</li> </ul> <p><strong>Minimum Requirements:</strong></p> <ul> <li>High school diploma or equivalent required; Associate of Science degree highly desired.</li> <li>Graduate of a Spectrometric Oil Analysis Operator/Evaluator (Atomic Emission Spectrometer) course or equivalent.</li> <li>Minimum of 5 years of hands-on experience in oil analysis programs within the last 10 years.</li> <li>Strong communication skills (oral and written).</li> <li>Fluent in English.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Minimum Requirements:</strong></p> <ul> <li>High school diploma or equivalent required; Associate of Science degree highly desired.</li> <li>Graduate of a Spectrometric Oil Analysis Operator/Evaluator (Atomic Emission Spectrometer) course or equivalent.</li> <li>Minimum of 5 years of hands-on experience in oil analysis programs within the last 10 years.</li> <li>Strong communication skills (oral and written).</li> <li>Fluent in English.</li> </ul><p></p></section>

Job Purpose The CNC technician will be responsible for setting up, programming, and operating CNC machines to produce high-precision components used in oilfield drilling and completion tools. The technician ensures all machining tasks meet the specifications, quality standards, and deadlines, and collaborates with team members to optimize productivity and equipment performance.<br>Duties and responsibilities1. Set up and operate CNC machines (lathes, mills, and grinders) to produce the components of oilfield drilling and completion tools.2. Interpret technical drawings and CAD/CAM models..3. Monitor machine operations and make adjustments to maintain tolerances and surface finishes.4. Inspect finished parts using measuring instruments to ensure quality compliance.5. Perform routine maintenance on machines and troubleshoot any technical issues.6. Collaborate with engineers and workshop supervisors to improve machining processes.7. Document production data and machine logs accurately.8. Ensure all parts are produced within industry specifications and quality control standards.9. Maintain a clean and organized work environment following safety protocols. <br>Qualifications 1. Have diploma in CNC machining or mechanical engineering.2. Minimum 3 years of experience operating CNC machines, preferably in an oilfield drilling and completion tools area.3. Strong understanding of manufacturing processes and quality standards.4. Technical troubleshooting and root cause analysis skills.5. Good verbal and written communication skills in English.6. Have basic computer skills (Microsoft Word, Excel, etc).7. Good communication and interpersonal skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Alternant Intégration Systèmes Industriels 4.0 F/H</p><br><br><p>Alternance</p><br><br><p>2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps partiel</p><br><br><p>La nouvelle entité Safran Additive Manufacturing Campus (SAMC), située au Haillan (33), est le centre d'expertise sur la Fabrication Additive pour le groupe SAFRAN. SAMC s'est engagé à renforcer ses socles sur la Data 4.0, considérée comme un verrou majeur à lever et sur lequel le centre est particulièrement attendu.<br>Dans le cadre de l'industrie 4.0, SAMC doit améliorer la capture des données riches générées par ses machines (IoT) et permettre leur exploitation en temps réel. <br>Cette approche vise à optimiser la collecte et l'analyse de données, aussi bien à chaud qu'à froid. Il est donc nécessaire d'établir une connectivité machine robuste et fiable (EDGE) tout en assurant une qualité de données optimale.<br>La maîtrise de notre fabrication est un élément essentiel pour assurer les exigences qualité demandées par nos clients, il est donc nécessaire d'effectuer en amont, des simulations spécifiques de fabrication additive pour être le plus représentatif de ce qui sera fabriqué. <br>A cet effet des algorithmes de machine Learning sont développés et intégrés dans notre chaîne numérique, il sera donc nécessaire de soutenir la maturation et le déploiement (continuer le développement) de ces algorithmes avec une mise en production plus optimisée.<br>Dans ce cadre nous recherchons un alternant préparant un diplôme d'ingénieur ou master sur 3 ans, orienté développement informatique et réseau industriel, ayant une forte appétence pour la programmation, la data et le monde industriel aéronautique.<br>Missions<br>- Contribuer à l'amélioration continue des solutions EDGE pour la capture de données riches générées par les machines.<br>- Assurer la qualité des données collectées pour permettre une analyse efficace à chaud et à froid.<br>- Participer à la conception et à la mise en place de simulations spécifiques de fabrication additive préalables à la production, pour garantir la conformité aux exigences de qualité des clients.<br>- Contribuer à l'établissement d'une connectivité machine robuste et fiable, en collaborant à la mise en œuvre des réseaux industriels nécessaires.<br>- Fournir un support aux équipes de production pour résoudre les problèmes techniques liés à l'exploitation des données et à la connectivité machine.<br>- Participer à la maintenance et à l'évolution des outils et systèmes en place pour garantir leur performance optimale.<br>- Participer à la maturation et au déploiement des algorithmes de machine learning.<br>- Effectuer une veille technologique sur les avancées en informatique industrielle, IoT et machine learning, pour intégrer les meilleures pratiques et technologies émergentes.</p><br><br><p> - port d'EPI pour salle FA</p><br><br><p>- Savoir -être<br> . Esprit d'équipe<br> . Esprit critique<br> . Pragmatique orienté recherche de solutions<br> . Proactif<br>Savoir faire<br>. Connaissance réseaux industriels (Webservices, OPCUA, Network, ...)<br>. Maîtrise de la programmation Python<br>. Maîtrise de la programmation JAVA C++<br>. Connaissance Low-code (Node-Red, ...)<br>. Connaissances IA / ML<br>. Connaissance des logiciels socles de l'entreprise serait un plus (ERP, MCS, MES, PLM, …)<br>Diplôme visé<br>- Master / Ingénieur en informatique et data</p><br><br><br> </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>

We are looking for an experienced AI Technical Lead to lead the development and delivery of enterprise AI and Generative AI solutions. The ideal candidate will drive technical strategy, mentor AI engineers, and ensure scalable, secure, and production-ready AI implementations.<br>Requirements:8+ years of overall experience in Software Engineering, Artificial Intelligence, Machine Learning, or related technology domains. Minimum 5+ years of hands-on experience in AI and Machine Learning solution development. Strong proficiency in Python and enterprise application development. Proven experience delivering AI and Generative AI solutions from concept and prototyping through production deployment. Strong expertise in Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), Prompt Engineering, Natural Language Processing (NLP), Machine Learning, Embeddings, and Vector Databases. Hands-on experience developing AI Agents, workflow orchestration, memory management, and tool integration. Experience with Lang Chain, Microsoft AI Stack, Mastra AI, Semantic Kernel, or similar AI frameworks. Experience with Azure Open AI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, or equivalent cloud AI platforms. Strong knowledge of AI evaluation frameworks, including groundedness, hallucination detection, retrieval quality, and task completion. Experience integrating AI solutions with enterprise APIs and business applications. Experience with cloud platforms, CI/CD pipelines, containers, observability, monitoring, security, and production support. Strong understanding of AI Governance, Responsible AI, LLMOps, and MLOps. Proven experience leading technical teams, mentoring engineers, conducting architecture and code reviews, and managing technical risks. Excellent stakeholder management, communication, analytical, presentation, and problem-solving skills. Ability to collaborate effectively with business, application, data, security, infrastructure, and Dev Ops teams.<br>Qualifications:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Experience delivering enterprise AI solutions for Government, Public Sector, Banking, Tourism, or large enterprise organizations is preferred. Arabic language proficiency is highly preferred. Experience evaluating AI-generated content in both Arabic and English is an advantage. Relevant certifications in Microsoft Azure AI, Machine Learning, Artificial Intelligence, Cloud Technologies, or related domains will be considered an advantage.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Good day,</p><p>We are looking for to hire 3 to 4, engineering graduate with 1 to 4 years on expoerience in the field of Data Science, Data Engineering, and AI / Machine Learning.</p><p><br></p><p>Please share CV if you are interested for long term career opportunity. </p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Data Science, Data Engineering, and AI / Machine Learning</p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking AI / ML Engineers across multiple experience levels (T1 T5) to design, develop, train, deploy, and optimize machine learning models and AI solutions throughout the complete machine learning lifecycle. Candidates will work on data preparation, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement using modern cloud AI platforms and open-source machine learning frameworks. The role offers opportunities ranging from entry-level implementation to enterprise AI architecture and technical leadership.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, train, evaluate, and deploy machine learning and AI solutions.</li><li>Build scalable ML pipelines from data preparation through production deployment.</li><li>Develop supervised, unsupervised, deep learning, and generative AI models.</li><li>Perform feature engineering, data preprocessing, model validation, and hyperparameter optimization.</li><li>Integrate ML models into enterprise applications and cloud-native environments.</li><li>Deploy AI models using managed cloud ML services and MLOps practices.</li><li>Monitor model performance, drift, accuracy, and production reliability.</li><li>Collaborate with Data Scientists, Data Engineers, Software Engineers, and DevOps teams.</li><li>Optimize model performance, scalability, and inference latency.</li><li>Document models, experiments, evaluation metrics, deployment processes, and governance standards.</li><li>Follow AI security, responsible AI, and model governance best practices.</li></ul><p><strong>Required Technical Skills</strong></p><ul><li><strong>Cloud AI Platforms</strong>: GCP Vertex AI or BigQuery ML or Dataflow, Azure ML or Azure OpenAI, AWS SageMaker or Amazon Bedrock</li><li><strong>Programming</strong>: Python</li><li><strong>Machine Learning Frameworks</strong>: TensorFlow or PyTorch</li><li><strong>Generative AI &amp; LLM Frameworks</strong>: HuggingFace or LangChain</li><li><strong>Data &amp; Analytics</strong>: Databricks</li><li><strong>Additional Skills</strong>: Machine Learning, Deep Learning, NLP, Computer Vision, Model Evaluation, Feature Engineering, API Development, Git</li></ul><p><strong>Responsibilities by Tier</strong></p><p><strong>T1 Associate AI / ML Engineer (0 - 2 Years)</strong></p><ul><li><strong>Role Focus:</strong> Learning, implementation, and execution under supervision.</li><li><strong>Responsibilities</strong><ul><li>Assist in data preparation, cleansing, and feature engineering.</li><li>Develop simple machine learning models using established frameworks.</li><li>Support model training, testing, and validation activities.</li><li>Deploy models under senior guidance.</li><li>Maintain documentation for datasets, experiments, and models.</li><li>Debug ML pipelines and resolve basic issues.</li><li>Learn cloud AI platforms and development best practices.</li><li>Follow coding standards, security policies, and project guidelines.</li></ul></li></ul><p><strong>T2 AI / ML Engineer (2 - 4 Years)</strong></p><ul><li><strong>Role Focus:</strong> Independent development and delivery.</li><li><strong>Responsibilities</strong><ul><li>Build and deploy production-ready machine learning models.</li><li>Perform feature engineering and model optimization.</li><li>Develop reusable ML components and inference APIs.</li><li>Implement model evaluation and performance monitoring.</li><li>Integrate ML models into enterprise applications.</li><li>Collaborate with cross-functional engineering teams.</li><li>Troubleshoot production AI issues.</li><li>Contribute to model documentation and deployment automation.</li></ul></li></ul><p><strong>T3 Senior AI / ML Engineer (5 - 7 Years)</strong></p><ul><li><strong>Role Focus:</strong> Technical ownership and solution development.</li><li><strong>Responsibilities</strong><ul><li>Design end-to-end AI and machine learning solutions.</li><li>Lead development of complex ML pipelines and AI applications.</li><li>Optimize training pipelines for performance and scalability.</li><li>Guide junior engineers and perform technical reviews.</li><li>Implement Responsible AI, explainability, and governance practices.</li><li>Improve model reliability, monitoring, and lifecycle management.</li><li>Collaborate with business stakeholders to translate requirements into AI solutions.</li><li>Support architecture decisions for enterprise AI initiatives.</li></ul></li></ul><p><strong>T4 Lead AI / ML Engineer (8 - 11 Years)</strong></p><ul><li><strong>Role Focus:</strong> Technical leadership and enterprise solution delivery.</li><li><strong>Responsibilities</strong><ul><li>Lead architecture and delivery of enterprise AI platforms and machine learning solutions.</li><li>Define technical standards, reusable frameworks, and engineering best practices.</li><li>Lead multiple AI initiatives across business domains.</li><li>Drive cloud-native AI solution design and deployment.</li><li>Review solution architecture, model performance, and production readiness.</li><li>Mentor engineering teams and provide technical leadership.</li><li>Collaborate with enterprise architects, product owners, and business leaders.</li><li>Improve AI platform scalability, governance, security, and operational excellence.</li></ul></li></ul><p><strong>T5 Principal AI / ML Architect (12+ Years)</strong></p><ul><li><strong>Role Focus:</strong> Enterprise AI strategy, architecture, and innovation.</li><li><strong>Responsibilities</strong><ul><li>Define enterprise AI/ML strategy and long-term technology roadmap.</li><li>Own architecture decisions for large-scale AI and machine learning platforms.</li><li>Lead enterprise-wide AI transformation initiatives.</li><li>Establish standards for Responsible AI, governance, security, and compliance.</li><li>Evaluate emerging AI technologies, frameworks, and cloud services.</li><li>Drive innovation in Generative AI, LLMs, and advanced machine learning solutions.</li><li>Provide executive-level technical guidance and strategic recommendations.</li><li>Lead technical communities, architecture reviews, and cross-functional AI governance.</li><li>Influence organizational AI adoption and engineering excellence across multiple programs.</li></ul></li></ul><p><strong>Preferred Certifications</strong></p><ul><li>One or more of the following certifications is highly preferred: Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate</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 or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>Strong understanding of statistics, machine learning algorithms, deep learning, and generative AI concepts.</li><li>Experience with cloud AI platforms and modern ML frameworks.</li><li>Knowledge of MLOps, CI/CD, model deployment, and production monitoring is an advantage.</li><li>Strong analytical, communication, and problem-solving skills.</li><li>Ability to work in Agile, cross-functional, and enterprise-scale environments.</li></ul><p></p></section>

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.<br>Responsibilities Lead the technical design and implementation of AI and machine-learning components. Develop solutions for document extraction, financial line-item classification, mapping and analytics. Define model-selection, training, evaluation and deployment methodologies. Establish accuracy, confidence, explainability and human-review controls. Guide AI engineers and collaborate with data, MLOps, architecture and business teams. Support PoC experimentation and production model deployment. Qualifications Bachelor’s in Computer Science or AI; relevant certifications; minimum 5 years in AI/ML development. Bachelor’s degree in Computer Science, Artificial Intelligence or a related field. Minimum five years of experience in AI/ML development. Experience with document AI, OCR, NLP, Gen AI or structured data extraction. Strong Python and machine-learning framework experience. Relevant AI, cloud or machine-learning certifications preferred. Experience in banking, financial services or government projects is advantageous.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Job Purpose</strong></span></p><br> <p><span>Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, </span><span>ensuring technical robustness, model performance, and responsible AI implementation.</span></p><br> <p><span><strong>&nbsp;Key Accountabilities</strong></span></p><br> <ol> <li> <p><span>Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).</span></p><br></li> <li> <p><span>Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.</span></p><br></li> <li> <p><span>Perform feature engineering, model tuning, and performance optimization.</span></p><br></li> <li> <p><span>Prepare, cleanse, and transform structured and unstructured datasets.</span></p><br></li> <li> <p><span>Support deployment of ML and GenAI models using MLOps and LLMOps practices.</span></p><br></li> <li> <p><span>Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.</span></p><br></li> <li> <p><span>Integrate AI solutions via APIs into enterprise systems.</span></p><br></li> <li> <p><span>Document model design, assumptions, risks, and validation results.</span></p><br></li> <li> <p><span>Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.</span></p><br></li> <li><span>Support monitoring, retraining, and lifecycle management of deployed models.</span></li> </ol> <p><span><strong>Minimum Qualification, Experience and Competencies</strong></span></p><br> <ol> <li><span><strong>Minimum Qualification</strong></span></li> </ol> <ul> <li> <p><span>Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field</span></p><br></li> </ul> <p><span><strong>Minimum Experience</strong></span></p><br> <ul> <li><span>4–6 years in data science, machine learning, or applied AI roles.</span></li> </ul> <p><span><span><strong>Skills:</strong></span></span></p><br> <ul> <li><span>Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)</span></li> <li><span>Prompt engineering</span></li> <li><span>RAG pipelines &amp; vector databases</span></li> <li><span>Model fine-tuning and evaluation</span></li> <li><span>Data preprocessing &amp; feature engineering</span></li> <li><span>Basic cloud deployment concepts</span></li> <li><span>MLOps / LLMOps fundamentals</span></li> <li><span>Analytical problem-solving</span></li> <li><span>Results Orientation</span></li> <li><span>Collaboration</span></li> <li><span>Continuous Improvement</span></li> <li><span>Accountability</span></li> </ul><br> </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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br><i>Leejam Sports Company, the largest fitness club operator in the Middle East, is dedicated to promoting health and wellness across the region. As an employer, Leejam provides a dynamic, growth-oriented work environment with opportunities for professional development and competitive benefits, fostering innovation, teamwork, and excellence.</i></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>

Hiring: AI Engineer (United Arab Emirates) We are currently seeking an innovative and highly motivated AI Engineer to join our growing technology team in the United Arab Emirates. Position:AI Engineer Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Design, develop, and deploy Artificial Intelligence and Machine Learning solutions Build and optimize Generative AI, Large Language Model (LLM), and Natural Language Processing (NLP) applications Develop intelligent automation systems and AI-powered products Train, fine-tune, evaluate, and monitor machine learning models Collaborate with software engineers, data scientists, and product teams to deliver AI-driven solutions Implement MLOps pipelines for model deployment, monitoring, and lifecycle management Research emerging AI technologies and contribute to innovation initiatives Ensure AI solutions are scalable, secure, and aligned with business objectives Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field Strong proficiency in Python and machine learning concepts Experience with Tensor Flow, PyTorch, Scikit-learn, Lang Chain, or similar AI frameworks Knowledge of LLMs, Generative AI, NLP, prompt engineering, and vector databases Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Docker, Kubernetes, APIs, and MLOps practices Strong analytical, problem-solving, and communication skills Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and AI certification support Exposure to cutting-edge AI technologies and regional innovation projects Career advancement opportunities Collaborative and innovation-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help build next-generation AI solutions that drive digital transformation, automation, and business innovation across the region!

Eram Talent is looking for a talented AI Infrastructure Engineer to join our innovative team. The ideal candidate will be responsible for designing, building, and maintaining scalable and robust infrastructure solutions that support AI and machine learning workloads. This role involves working closely with data scientists, machine learning engineers, and software developers to optimize infrastructure performance and facilitate efficient AI model development and deployment. Key Responsibilities:Design, implement, and manage high-performance computing environments tailored for AI and machine learning applications. Deploy and maintain GPU-accelerated clusters, cloud-based AI platforms, and parallel processing systems. Collaborate with data scientists and ML engineers to understand infrastructure requirements for various AI projects. Optimize resource allocation and scalability of AI infrastructure to support large datasets and complex models. Automate infrastructure provisioning and deployment using Infrastructure as Code (IaC) tools. Ensure security, compliance, and reliability of AI infrastructure. Monitor system performance and troubleshoot issues to minimize downtime and maximize productivity. Stay updated on emerging technologies and best practices in AI infrastructure and propose continuous improvements.<br><br>Requirements<br><br>Bachelor's or higher degree in Computer Science, Engineering, or related technical field.6+ years of experience in infrastructure engineering, preferably with a focus on AI, machine learning, or high-performance computing environments. Cloud skills - GCP/Open Shift, Kubernetes (k8s), Docker containers/images AI skills - Model training, testing/evaluation, deployment ML/LLMOPsLLMs and Gen AI core skills - how do LLMs work under the hood, inference mechanics of LLMs/Gen AIInference scaling, distributed computing, inference benchmarking, inference planning for meeting SLAs/SLOsGPUs and how to work with them, distributed workloads handling, autoscaling NVIDIA NIMs, Huggingface NVIDIA Superpods (HPC, slurm, k8s) Monitoring, dashboards for LLM/ML workloads and applications AI Application Architecture know-how, end to end flows Dev Ops (CI/CD, argo CD, git, Jenkins etc) Languages: Python, SQL

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br><i>Leejam Sports Company, the largest fitness club operator in the Middle East, is dedicated to promoting health and wellness across the region. As an employer, Leejam provides a dynamic, growth-oriented work environment with opportunities for professional development and competitive benefits, fostering innovation, teamwork, and excellence.</i></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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The A&amp;M Supervisor will oversee the operation and maintenance of AVM systems, with a minimum of 5 years technical experience. The role includes supervising AVM, APC, PA, CCTV, and Planning systems, while also managing AFC and Operator ITS interfaces in coordination with contractors. The supervisor ensures real-time data quality, resolves operational incidents, supports contract administration with technical specifications, and coordinates with dispatch and field teams to maintain system reliability and efficiency.</p><p>Your role</p><p>System Supervision: Supervise AVM, APC, PA, CCTV, and Planning systems.</p><p>Interface Oversight: Oversee AFC and Operator ITS interfaces, ensuring effective communication with contractors.</p><p>System Administration: Administer all systems and interfaces (e.g., HERE maps, Google traffic).</p><p>Contractor Coordination: Discuss fault reports and customer complaints with contractors.</p><p>Software Testing: Test and release new software in the Test &amp; Development center, including ITS interfaces.</p><p>Contract Support: Support Contract Administration Manager and Employer with technical requirements, specifications (SDS), and technical variations.</p><p>System Architecture: Provide input on AVM system architecture.</p><p>Monitoring &amp; Incident Management: Monitor and manage AVM systems, ensure real-time data quality, and resolve operational incidents.</p><p>Team Coordination: Coordinate with dispatch and field teams to ensure smooth operations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience: Minimum of 5 years technical experience in operation and maintenance of AVM systems.</p><p>Educational Background: Bachelor s degree in Electronics, Electrical Engineering, IT, or related field.</p><p>Technical Skills: Strong knowledge of AVM, APC, PA, CCTV, ITS interfaces, and system administration tools.</p><p>Software &amp; Tools: Experience with HERE maps, Google traffic, and system integration platforms.</p><p>Contract Knowledge: Familiarity with SDS, technical specifications, and contract variations.</p><p>Analytical Skills: Ability to monitor system performance and resolve incidents effectively.</p><p>Communication Skills: Strong liaison skills with contractors, stakeholders, and internal teams.</p><p>Leadership: Proven ability to supervise teams and coordinate cross-functional operations.</p><p>Problem-Solving: Aptitude for handling operational challenges and ensuring system reliability.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Eram Talent is seeking a qualified Oil &amp; Gas Training Instructor (Operations) to lead and deliver comprehensive training programs within the oil and gas sector in Saudi Arabia.<br> The ideal candidate will have extensive knowledge of oil and gas operations and proven experience in training and development, ensuring operational excellence and workforce competency.<br> In this role, you will design, develop, and conduct training sessions tailored to operational staff, focusing on industry best practices, safety standards, and efficiency improvements.<br> Responsibilities Develop and deliver training programs related to oil and gas operations.<br> Assess training needs and tailor programs to meet organizational requirements.<br> Use a variety of instructional techniques and formats, such as simulations, hands-on workshops, and e-learning.<br> Evaluate trainee progress and provide constructive feedback to enhance learning.<br> Ensure all training materials comply with industry standards and regulations.<br> Collaborate with operational teams to align training content with current practices and challenges.<br> Maintain training records and documentation for auditing and compliance purposes.<br> Bachelor’s degree in Chemical Engineering, Petroleum Engineering, Operations Management, or a related field.<br> IELTS / TOEFL is strongly preferred.<br> Minimum 7 years of practical experience in oil and gas operations.<br> Proven experience as a training instructor or facilitator, preferably within the oil and gas industry.<br> Familiar with : - Oil and Gas operations - Petrochemical Chemical - Plant Control - Oil Separation - Refinery Operator - Control Man - Terminal - Fractionation - Hydrogen - Isomerization - Tank Farm - Console Operator - Water Treatment - Well Services - Wireline - Well Completion - Start-up - Shut Down</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"> 1+ years </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>