Python Developer Jobs in Saudi
900 Jobs Found
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3>
<p style="margin:0 0 12px; ************;">Abdullah A. Al-Barrak & Son Co. is seeking an <strong style="font-weight:700;">Associate Data Scientist</strong> to be based in Dhahran, Eastern region. This full-time role involves working on advanced data science solutions within Saudi Aramco, with a focus on Artificial Intelligence, Machine Learning, and cloud-based technologies.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Position Focus</h3>
<p style="margin:0 0 12px; ************;">The ideal candidate will have hands-on experience in the development and deployment of AI/ML models. This role requires engagement with Large Language Models (LLMs) and Generative AI technologies, alongside proficiency in cloud platforms, containerization, and modern MLOps practices within an enterprise environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Activities</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;">Develop and deploy Artificial Intelligence (AI) and Machine Learning (ML) models.</li>
<li style="margin:0 0 6px;">Work with Large Language Models (LLMs) and Generative AI technologies.</li>
<li style="margin:0 0 6px;">Utilize cloud platforms and containerization for data science solutions.</li>
<li style="margin:0 0 6px;">Apply modern MLOps practices within enterprise environments.</li>
<li style="margin:0 0 6px;">Contribute to the implementation of cloud-based data science solutions.</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 or an equivalent field.</li>
<li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">5 years of relevant experience</strong> in data science, AI, or Machine Learning.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required 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;">Strong proficiency in <strong style="font-weight:700;">Python</strong> and <strong style="font-weight:700;">SQL</strong>.</li>
<li style="margin:0 0 6px;">Experience with container orchestration and cloud platforms, including <strong style="font-weight:700;">Kubernetes</strong>, <strong style="font-weight:700;">Docker</strong>, <strong style="font-weight:700;">GCP</strong>, or <strong style="font-weight:700;">OpenShift</strong>.</li>
<li style="margin:0 0 6px;">Hands-on experience in Machine Learning, LLMs, Generative AI, and MLOps/LLMOps.</li>
<li style="margin:0 0 6px;">Experience with CI/CD tools such as <strong style="font-weight:700;">Git</strong>, <strong style="font-weight:700;">Jenkins</strong>, and <strong style="font-weight:700;">ArgoCD</strong>.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Attributes and 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;">Familiarity with <strong style="font-weight:700;">Hugging Face</strong>, <strong style="font-weight:700;">NVIDIA GPUs</strong>, <strong style="font-weight:700;">NIMs</strong>, and distributed AI environments is highly preferred.</li>
<li style="margin:0 0 6px;">Demonstrated excellent communication, collaboration, and project management skills.</li>
</ul>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Opportunity</h3>
<p style="margin:0 0 12px; ************;">Hire Feed is recruiting for a <strong style="font-weight:700;">Data Scientist AI/ML</strong> to join one of our clients on a contract basis. This role involves developing and deploying machine learning models to enhance predictive accuracy for client datasets.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3>
<p style="margin:0 0 12px; ************;">The Data Scientist will collaborate with cross-functional teams to identify data-driven solutions and automate workflows. This position offers an opportunity to contribute to the scalability of AI-driven solutions within a global leader in the Software Development industry, providing exposure to cutting-edge tools and collaboration with experts in data science and engineering.</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;">Design, train, and optimize machine learning models for classification, regression, and clustering tasks.</li>
<li style="margin:0 0 6px;">Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.</li>
<li style="margin:0 0 6px;">Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.</li>
<li style="margin:0 0 6px;">Develop and document reproducible experiments.</li>
<li style="margin:0 0 6px;">Present findings and recommendations to stakeholders through clear visualizations and technical reports.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Environment and Expectations</h3>
<p style="margin:0 0 12px; ************;">Candidates are expected to be proficient in developing reproducible experiments using <strong style="font-weight:700;">Python</strong>, <strong style="font-weight:700;">Jupyter notebooks</strong>, and <strong style="font-weight:700;">version control systems</strong>. The role requires practical experience with MLOps principles for effective model lifecycle management.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation and Contract Details</h3>
<p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">contract</strong> position. The compensation for this role is <strong style="font-weight:700;">$30 - $100 per hour</strong>.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Commitment to Equal Opportunity</h3>
<p style="margin:0 0 12px; ************;">Hire Feed is an equal opportunity employer. We base hiring decisions on skills and expertise, welcoming all qualified candidates regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>What you will do</b></p><p>Design and implement agent workflows using LangGraph</p><p>Build stateful, multi-step AI pipelines with complex decision logic</p><p>Orchestrate interactions between multiple agents and external systems</p><p>Integrate LLM-based components into production-grade applications</p><p>Ensure scalability and reliability of agent execution flows</p><p>Collaborate with platform teams to integrate agent workflows with AWS infrastructure</p><p>Optimize performance and cost efficiency of agent-based systems</p><p>Contribute to architecture and best practices for agentic systems</p><p>What you need for this</p><p>5+ years of experience as a Software / DevOps / Platform Engineer</p><p>2+ years of experience building AI agents or agent-based systems (Agentic AI)</p><p>Strong experience with Python (FastAPI, APIs, async workflows)</p><p>Hands-on experience with LangGraph or similar agent orchestration frameworks</p><p>Experience working with LLM-based systems (OpenAI, Anthropic, etc.)</p><p>Strong knowledge of AWS (EKS, Lambda, API Gateway, etc.)</p><p>Experience with Kubernetes and Terraform</p><p>Understanding of stateful workflows and distributed systems</p><p>Experience building and integrating APIs and microservices</p><p>Familiarity with CI/CD processes and cloud-native development</p><p>Nice to Have</p><p>Experience with LangChain or similar ecosystems</p><p>Understanding of prompt engineering and LLM evaluation</p><p>Experience with event-driven architectures</p><p>Exposure to agent-based system design patterns</p><p>Soft Skills</p><p>Strong problem-solving and system design thinking</p><p>Ability to work in ambiguous and evolving technical environments</p><p>Effective communication and collaboration skills</p><p>Curiosity and passion for AI and emerging technologies</p><p>Ownership mindset and focus on delivering business value</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Summary: We are seeking an experienced SIEM Deployment Engineer to lead or support the deployment, configuration, and optimization of Splunk or SIEM solutions across enterprise environments.<br> The ideal candidate will possess strong technical knowledge in security operations, log management, and compliance, along with hands-on experience in implementing for clients.<br> Key Responsibilities: Lead end-to-end deployment of Splunk or SIEM platform, including planning, architecture design, installation, configuration, and tuning.<br> Integrate log sources from various platforms (Windows, Linux, firewalls, routers, endpoint protection, etc.<br>). Develop custom parsers and log normalization rules.<br> Build correlation rules, alerts, dashboards, and reports based on customer requirements.<br> Conduct use case development, threat detection tuning, and optimization of false positives.<br> Collaborate with SOC teams to ensure effective threat monitoring and incident detection.<br> Document implementation procedures, configuration guides, and troubleshooting steps.<br> Provide knowledge transfer and training to internal teams or clients.<br> Ensure compliance with industry standards (e.<br>g., NCA ECC, SAMA CSF, ISO 27001).<br> Required Skills and Qualifications: Bachelor’s degree in Computer Science, Cybersecurity, or related field.<br> 8-10 years of experience in Splunk or SIEM deployment and cybersecurity.<br> Proven experience with LogRhythm SIEM deployment in enterprise environments.<br> Strong understanding of log analysis, incident response, and threat detection.<br> Familiarity with log source integration: Windows Event Logs, Syslog, NetFlow, etc.<br> Scripting experience (PowerShell, Python, etc.<br>) is a plus.<br> Knowledge of cybersecurity frameworks (MITRE ATT&CK, NIST, etc.<br>) is an advantage.<br> LogRhythm certifications (e.<br>g., LogRhythm Deployment Fundamentals, LogRhythm Analyst) are a strong plus.<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>
Master Works is seeking an experienced Informatica Engineer with 4-6 years of experience to design, develop, and maintain data integration and ETL solutions using Informatica technologies. The role will be responsible for developing efficient data workflows, transforming and integrating data from multiple sources, ensuring data quality and accuracy, troubleshooting integration issues, and supporting data migration and data warehouse initiatives.<br><br>Key Roles and Responsibilities: <br><br>Develop and configure CDGC (Cloud Data Governance and Catalog) solutions to support enterprise data cataloging, metadata management, data discovery, and governance requirements. Manage and administer CDGC, including configuration, maintenance, metadata ingestion, catalog management, and ongoing optimization. Configure and maintain data assets, metadata, business terms, classifications, and relationships within CDGC. Support data governance activities by ensuring data assets are properly cataloged, classified, documented, and aligned with governance standards. Perform metadata onboarding and integration from various data sources into CDGC. Monitor and troubleshoot CDGC-related issues and ensure the availability and reliability of governance and cataloging capabilities. Collaborate with data governance, data engineering, and business teams to ensure effective adoption and utilization of CDGC. <br><br>Requirements<br><br>Bachelor's degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related field. 4-6 years of relevant experience in Informatica development and data integration. Strong knowledge in developing CDGC. Expert knowledge on managing CDGC. Strong hands-on experience with Informatica Power Center and/or Informatica Intelligent Data Management Cloud (IDMC/IICS). Strong knowledge of ETL/ELT concepts and data integration methodologies. Strong proficiency in SQL and relational databases. Experience working with databases such as Oracle, SQL Server, Postgre SQL, or similar. Good understanding of data warehousing concepts, including fact tables, dimensions, ETL processes, and data marts Experience with troubleshooting, performance tuning, and optimization of ETL workflows Good understanding of data quality, data validation, and data reconciliation. Strong analytical and problem-solving skills<br><br>Preferred Qualifications:<br><br>Experience with Informatica Cloud / IICS / IDMC. Experience with Informatica Data Quality (IDQ) or Master Data Management (MDM). Knowledge of Unix/Linux shell scripting. Experience with Python or other scripting languages. Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Experience with API-based integrations and web services. Knowledge of CI/CD and Dev Ops practices for data integration. Relevant Informatica or cloud certifications are an advantage<br><br>Location: Client Site
Back Office PS Core Engineer KSA1 Year extendable contract<br>Overview We are looking for an experienced Back Office PS Core Engineer to support the design, configuration, optimisation and troubleshooting of Ericsson Packet Core solutions across EPC and 5G Core environments.<br>The successful candidate will work closely with planning, operations and cross-functional engineering teams to maintain high availability, performance and reliability of mobile broadband services.<br>Responsibilities Perform daily health checks and alarm monitoring across Ericsson PS Core nodes, including MME, EPG, PCC/PCG, SAPC, SMF/UPF, NEF and ESOA. Troubleshoot network faults, capacity constraints and performance degradation. Manage subscriber sessions, PDP contexts, bearer handling and IMSI tracing. Implement APNs, IMSI ranges, rating groups and QoS profiles. Configure PCC rules and PDR/QER/FAR/URR policies. Support PCRF/SAPC-related configurations. Manage DNS, NAPTR and SRV configurations supporting IMS and EPC services. Support integration of new PS Core nodes, including virtualised and cloud-based EPG, MME and UPF deployments. Plan and implement software upgrades, patches and capacity expansions. Analyse KPIs including attach success, bearer setup, handover success, latency and throughput. Develop scripts for log parsing, KPI analysis and operational automation.<br>Required Skills Strong Ericsson PS Core experience across technologies such as SGSN-MME, EPG, PCC/PCG, SAPC, DRA and SMF/UPF. Strong understanding of 2G/3G/4G/5G call flows, including Attach, TAU/RAU, handover and session management. Knowledge of GTP-C/U, Diameter, Radius, HTTP/2, SIP, SCTP and TCP/UDP/IP. Experience with Ericsson CLI environments. Experience with OSS/BSS integration and tools such as ENM, ENIQ and Wireshark. Strong troubleshooting, analytical and incident-management capability. Good communication and documentation skills. Bachelor’s degree in Telecommunications, Electronics, Computer Engineering or a related discipline.4–8 years' experience in PS Core, EPC or 5G Core networks.<br>Nice-to-Have Skills Ericsson Certified Professional or equivalent vendor certification. Cloud-native 5G Core experience. Ericsson dual-mode 5GC and CNIS exposure. Kubernetes, Docker, Open Stack or VMware experience. Bash, Python, Expect or AWK scripting.<br>Why Apply This is an opportunity to work hands-on with Ericsson Packet Core technology spanning legacy packet core, EPC and next-generation cloud-native 5G Core environments. The position offers exposure to complex troubleshooting, optimisation, integration and automation activities within a mobile network environment.
AI Development Engineer ???? Riyadh, Saudi Arabia | Full-time | On-site About Business Codes Business Codes is a Riyadh-based AI and automation firm focused on transforming business operations through intelligent automation and document intelligence. We design AI-powered workflows that streamline invoices, approvals, and onboarding processes while integrating seamlessly with ERP, HR, and CRM systems. By reducing operational costs and errors, we help organizations accelerate decision-making and improve overall efficiency. Our team works on practical, high-impact solutions that directly address real-world business challenges across multiple industries. About the Role We're looking for an AI Development Engineer to design, develop, and implement AI-driven solutions that power intelligent automation and document processing workflows. You'll work at the intersection of research and production engineering — prototyping models, building robust software, and integrating them into the enterprise systems our clients rely on every day. What You'll DoResearch and prototype AI models for document intelligence and workflow automation use cases Build, test, and maintain software components that bring AI models into production Integrate AI-driven solutions with existing enterprise systems (ERP, HR, CRM) Collaborate with cross-functional teams to translate business requirements into technical specifications Optimize model performance for accuracy, speed, and cost Ensure the reliability and scalability of deployed AI solutions Support deployment and ongoing maintenance in production environments Contribute across the full product development lifecycle, from concept to release What We're Looking For Solid experience developing and deploying AI/ML models in real-world applications Strong programming skills (Python preferred) and familiarity with common ML/AI frameworks Experience with document intelligence, NLP, or intelligent automation is a strong plus Familiarity with integrating software solutions with enterprise systems (ERP, HR, or CRM platforms) Understanding of production ML practices — testing, monitoring, and scaling models in live environments Strong problem-solving skills and the ability to translate business needs into technical solutions Comfortable working collaboratively in a fast-paced, cross-functional team environment Based in or willing to relocate to Riyadh, Saudi Arabia Why Join Business Codes You'll work on practical, high-impact AI solutions that solve real business problems — not just research for its own sake. Join a growing team shaping how organizations across the region automate and modernize their operations.
About the Role<br>We are seeking an experienced Technical Account Manager (TAM) to join our team in Riyadh. In this customer-facing role, you will serve as a trusted technical advisor, helping customers maximize the value of the UiPath Platform and accelerate their automation journey. The successful candidate will proactively engage with customers, drive platform adoption, provide technical guidance, and support the strategic growth of automation programs. This is an excellent opportunity for a technically strong professional who enjoys working directly with customers and influencing business outcomes.<br>Key Responsibilities<br>Own and drive customers' technical success with the UiPath platform. Build strong relationships with customer stakeholders and serve as their trusted technical advisor. Proactively engage customers to understand their business objectives and align automation initiatives accordingly. Guide customers through platform adoption, technical maturity, and best practices for automation programs. Provide technical expertise on UiPath platform architecture, infrastructure, installation, upgrades, and optimization. Deliver troubleshooting assistance and coordinate resolution of complex technical issues. Support customers in identifying new automation opportunities and realizing measurable business value. Collaborate with internal teams to ensure successful customer outcomes and continuous platform improvement. Conduct technical reviews, health checks, and adoption planning sessions with customers.<br>Required Qualifications<br>7+ years of experience in a customer-facing technical role such as Technical Account Management, Technical Consulting, Solutions Engineering, Professional Services, or Technical Support. Experience supporting enterprise software platforms and managing customer relationships. Strong technical background with programming knowledge in one or more of the following:C#. NETJava Python C++VBPower Shell Experience with software deployment, infrastructure planning, troubleshooting, and system integrations. Excellent communication, presentation, and stakeholder management skills. Ability to remain composed and professional under pressure while managing customer expectations.<br>Preferred Qualifications<br>Previous experience in Technical Support, Technical Consulting, or Customer Success roles. Experience with Robotic Process Automation (RPA), intelligent automation, or low-code platforms. Familiarity with cloud technologies and enterprise IT environments. UiPath certifications or hands-on UiPath platform experience are highly desirable.<br>Skills & Competencies<br>Customer-centric mindset Technical problem-solving and troubleshooting Strategic advisory and consultative approach Strong relationship management skills Excellent communication and influencing abilities Diplomacy, tact, and executive presence Ability to manage multiple stakeholders and priorities<br>Language Requirements<br>Fluent in Arabic and English (spoken and written).
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Company Description AI-Consult.co, provides strategic AI advisory and data management solutions that support organizations through digital transformation. The team helps businesses understand the AI landscape, define clear AI goals, and identify high-impact use cases that align with their objectives. Core services include AI strategy and advisory, robust data management solutions, and AI-powered automation to improve efficiency and accuracy. By combining deep technical expertise with strong business insight, AI-Consult.co enables clients to unlock the full potential of AI and achieve sustainable, innovation-driven growth. The company is committed to delivering technologically advanced services grounded in practical business realities. Role Description This is a full-time, on-site Software Engineer role based in Riyadh, Saudi Arabia. The Software Engineer will design, develop, test, and maintain software solutions that support AI strategy, data management, and automation services. Daily responsibilities include implementing back-end features and APIs, writing clean and maintainable code, debugging and optimizing existing systems, and integrating software components with AI and data platforms. The role involves collaborating with consultants and data experts to translate business requirements into technical solutions, participating in code reviews, and contributing to technical documentation and best practices. The Software Engineer will also help improve development workflows, ensure software quality and security, and support ongoing product enhancements. Qualifications Strong foundation in Computer Science, including algorithms, data structures, and software architecture. Proficiency in Software Development and Programming, with experience building production-grade applications. Hands-on experience in Back-End Web Development, including APIs, databases, and server-side frameworks. Solid understanding and application of Object-Oriented Programming (OOP) principles. Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). Experience with at least one modern programming language (e.g., Python, Java, C#, or Java Script/Type Script) and related development tools. Familiarity with cloud platforms, version control (e.g., Git), and CI/CD practices. Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly. Interest or experience in AI, data engineering, or automation solutions is a strong plus. Strong problem-solving skills, attention to detail, and willingness to continuously learn new technologies.
<ul><li><p>Manage and support Linux servers, Kubernetes clusters, and containerized workloads.</p></li><li><p>Administer and optimize GCP resources and cloud services.</p></li><li><p>Support platform services including Elasticsearch, Redis, RabbitMQ, and associated components.</p></li><li><p>Monitor platform health, integrations, logs, alerts, and overall system performance.</p></li><li><p>Handle critical incidents, escalations, troubleshooting, and root cause analysis (RCA).</p></li><li><p>Support deployments, upgrades, configuration changes, and platform enhancements.</p></li><li><p>Monitor integration health and proactively resolve issues and anomalies.</p></li><li><p>Coordinate with internal cloud, infrastructure, and engineering teams.</p></li><li><p>Maintain operational documentation, SOPs, and technical records.</p></li><li><p>Support automation initiatives and continuous service improvements.</p></li><li><p>Ensure platform availability, reliability, scalability, and operational efficiency.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>3-5+ years of experience in platform engineering, cloud operations, system administration, or DevOps environments.</p></li><li><p>Strong experience with Linux, Kubernetes (GKE), and Google Cloud Platform (GCP).</p></li><li><p>Experience supporting high-availability production environments, platform services, and integrations.</p></li><li><p>Exposure to monitoring, observability, automation, and incident management processes.</p></li></ul><p><strong> </strong></p><p><strong>Skills</strong></p><ul><li><p>Linux (Ubuntu), Bash/Python</p></li><li><p>Kubernetes (GKE), Docker</p></li><li><p>Google Cloud Platform (Compute, IAM, Networking)</p></li><li><p>ELK Stack (Elasticsearch, Logging)</p></li><li><p>Redis, RabbitMQ</p></li><li><p>REST & GraphQL APIs</p></li><li><p>Prometheus, Grafana, Loki</p></li><li><p>YAML, Git</p></li><li><p>Ticketing tools (Jira/ServiceNow)</p></li></ul>
Company Description Elite Digital Technologies enables organizations to drive digital transformation using advanced technologies such as Artificial Intelligence, Machine Learning, Blockchain, Internet of Things, and cloud computing. The company helps clients balance the adoption of new digital solutions with the restructuring or replacement of legacy systems. Elite Digital emphasizes strategic partnerships and collaboration with vendors and industry leaders to deliver strong value propositions and premium support. As a Microsoft Partner, the company leverages enterprise-proven tools and resources to accelerate go-to-market strategies and develop flexible, robust, and cost-effective solutions for its customers. Role Description This is a contract, on-site Data Scientist role based in Riyadh. The Data Scientist will work closely with cross-functional teams to collect, clean, and analyze data from various sources, and build statistical and machine learning models that support business decisions and digital transformation initiatives. Day-to-day responsibilities include designing experiments, performing exploratory data analysis, creating dashboards and visual reports, and communicating insights to technical and non-technical stakeholders. The role also involves collaborating with engineers and product teams to deploy analytical solutions, monitoring model performance, and recommending improvements to data pipelines and decision processes. Qualifications Strong foundation in Data Science and Statistics, with the ability to design experiments and build predictive models. Proficiency in Data Analytics and Data Analysis for extracting insights and supporting data-driven decision-making. Experience with Data Visualization tools and practices for creating clear, actionable dashboards and reports. Hands-on experience with programming languages commonly used in data science (such as Python or R) and SQL. Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Tensor Flow, PyTorch) is highly beneficial. Knowledge of cloud platforms and data engineering concepts, including data pipelines and ETL processes, is an advantage. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings in a clear, concise manner. Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Ability to work on-site in Riyadh and collaborate effectively in a multicultural, cross-functional environment. Bachelor’s in Data Science or equivalent; Responsible AI/SDAIA training; minimum 3 years, including experience with the relevant domain data.
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Rackspace Technology™ is a leading end-to-end, hybrid cloud and AI solutions company. We can design, build, and operate our customers' cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products, and adopt innovative technologies. Named a best place to work by Newsweek and Forbes, we attract and develop world-class talent to deliver a Fanatical Experience™ – so our customers can achieve better outcomes and stay ahead of what’s next.</p><br><br><br><p>The <b>SRE / DevOps Engineer</b> is a key element within the Rackspace support infrastructure and is expected to provide a high level of technical support to our customers via the phone, ticketing system, and automation. This role owns complex customer issues which may take several days or weeks to resolve and keeps our customers updated through every step of the process. Provides a framework for system development, maintenance, and enhancement efforts. Implements standards and guidelines of SRE support.</p><br><br><br><p>You will be a member of an SRE team that operates our OpenStack private cloud and develops tools and integrations for a portfolio of cloud infrastructure services. You will use your OpenStack knowledge to drive improvements in operations and releases through code. You will use common open-source observability tooling like ELK and Grafana for proactive alerts to measure and maintain Service Level Objectives.</p><br><br><br><p><b>This role is based full time, on-site in Saudi Arabia. Arabic language skills are essential. </b></p><br><br><br>Responsibilities<ul><li><p>Develop and deliver software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms using a DevOps model for On-Prem (OpenStack)</p><br><br></li><li><p>Automate the development, testing, and deployment processes through CI/CD pipelines (Git, GitLab, Helm, ArgoCD)</p><br><br></li><li><p>Work with Tier 1 support on system and customer escalations</p><br><br></li><li><p>Troubleshoot and resolve issues related to infrastructure, applications, and networks.</p><br><br></li><li><p>Collaborate with software engineering teams to optimize application performance and reliability.</p><br><br></li><li><p>Continuously evaluate and improve systems and processes to enhance reliability, performance, and efficiency.</p><br><br></li><li><p>Stay updated with industry trends, best practices, and emerging technologies in SRE and DevOps.</p><br><br></li></ul><br>Job Requirements<ul><li><p>Solid OpenStack cloud infrastructure background and operational, fixing, and problem-solving experience</p><br><br></li><li><p>Software development lifecycle including development, testing, packaging, deployment, upgrade, and support.</p><br><br></li><li><p>OpenStack development and operations experience. Familiarity with major OpenStack components like Keystone, Nova, Neutron, Glance</p><br><br></li><li><p>Software development experience in Python</p><br><br></li><li><p>Ability to write patches for OpenStack in Python and contribute to the community.</p><br><br></li><li><p>Working with the open-source community for bug fixes/enhancement etc.</p><br><br></li><li><p>Experience supporting Software-defined storage with Ceph or other cloud-based storage.</p><br><br></li><li><p>Hypervisor technologies including KVM.</p><br><br></li><li><p>Redhat Enterprise Linux and/or CentOS build, development, and operations</p><br><br></li><li><p>Experience in building and maintaining code distribution through automated pipelines.</p><br><br></li><li><p>Experience with Ansible or Puppet for configuration management</p><br><br></li><li><p>Software-defined network technologies including OVS, OVN, NFV, etc.</p><br><br></li><li><p>IaaC experience – Terraform, Ansible, Git, GitLab, Jenkins, Helm, ArgoCD, Conjur/Vault.</p><br><br></li></ul><br>&#xa;&#xa;<p><span><b>About Rackspace Technology</b></span></p><br><br><p><span>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.</span></p><br><br><br><p><span><b>More on Rackspace Technology</b></span></p><br><br><p><span>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.</span></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>
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
We are looking for a highly motivated Dev Ops Engineer to join our fully remote engineering team. The ideal candidate will have strong experience building and maintaining cloud infrastructure, Kubernetes environments, CI/CD pipelines, Infrastructure as Code (IaC), and modern Dev Ops practices. You will work closely with software engineers, architects, and security teams to deliver reliable, scalable, and secure cloud-native solutions. This position is ideal for engineers who enjoy automation, continuous improvement, cloud infrastructure, and solving complex production challenges.<br>Key Responsibilities Design, implement, and maintain scalable cloud infrastructure. Manage and administer Kubernetes clusters in production environments. Build, maintain, and optimize CI/CD pipelines using modern Dev Ops tools. Automate infrastructure provisioning using Infrastructure as Code (Terraform, Ansible). Deploy and manage containerized applications using Docker and Kubernetes. Implement Git Ops deployment strategies using Argo CD or similar tools. Monitor infrastructure health using Prometheus, Grafana, ELK Stack or equivalent monitoring solutions. Ensure infrastructure security, availability, backup, disaster recovery, and compliance. Troubleshoot production incidents and optimize system performance. Collaborate with software engineering teams to improve deployment processes and release automation. Support cloud migrations and cloud infrastructure optimization. Implement best practices for networking, security, scalability, and automation. Document infrastructure architecture, deployment procedures, and operational runbooks.<br>Requirements Must Have4+ years of experience as a Dev Ops Engineer, Cloud Engineer, or Site Reliability Engineer. Strong Linux system administration experience. Hands-on experience with Kubernetes in production. Excellent knowledge of Docker and containerization. Experience building CI/CD pipelines. Strong Infrastructure as Code experience using Terraform. Experience with Git, Git Hub Actions, Git Lab CI, or Jenkins. Experience managing cloud infrastructure (AWS, Azure, GCP, Oracle Cloud, or Digital Ocean). Experience with monitoring and logging tools. Good understanding of networking fundamentals. Experience implementing infrastructure security best practices. Strong scripting skills (Bash, Python, or similar). Experience working within Agile teams. Strong troubleshooting and problem-solving skills. Excellent written and spoken English.<br>Nice to Have Oracle Cloud Infrastructure (OCI) Argo CD (Git Ops) Hashi Corp Nomad Consul Elasticsearch / Logstash / Kibana (ELK) Prometheus Kafka VMware Active Directory integration Cloud migration experience Microservices architecture Security hardening Experience supporting banking, government, or enterprise platforms
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>What You'll Do</b></p><p><br></p><p>As a Senior Analyst in a Client Focused role, you will work on long-term implementation and transformation initiatives, helping clients translate ideas into action and strategy into measurable outcomes. In a world where AI can increasingly accelerate analysis and insight generation, the greatest value lies in execution where implementing initiatives, aligning stakeholders to ensure buy-in and adoption, and change interventions to deliver lasting business impact. </p><p> </p><p>You will combine your expertise to deliver value to clients via individual expertise and/or institutionalized knowledge assets (products, tools, data, workshops, frameworks, surveys, domain-specific data, and related expertise, etc.). </p><p><br></p><p> </p><p><br></p><p>You will contribute to cases and proposals by contributing relevant analysis and insights and create strong impact for the client. While contributing to client cases, workshops and proposals, travel to serve clients onsite during staffing assignments is expected in order to understand client requirements and to design / develop solutions. </p><p><br></p><p> </p><p><br></p><p>You will support implementation projects, working in conjunction with business leaders, through activities such as: </p><p><br></p><p><br></p><p>- Driving key modules within implementation projects and transformation programs</p><p><br></p><p>-Driving program execution and value realization by translating strategy recommendations into action, aligning stakeholders, overcoming implementation challenges, and ensuring initiatives deliver measurable business impact </p><p><br></p><p>- Applying analytical structured thinking and problem-solving, applying business transformation principles in practical scenarios </p><p>- Supporting the activation of organizational design strategies and target operating models, including processes, governance, roles and performance management mechanisms </p><p>- Managing disciplined execution of program/project components, including initiative prioritization, business case development, roadmap and value realization tracking </p><p>- Conducting analysis to identify opportunities for process streamlining and performance improvement, grounded in business and financial impact </p><p>- Communicating with case teams and clients team members in a credible and confident way </p><p>- Ensuring high-quality execution of project components, maintaining a focus on practical efficiency and effectiveness </p><p>- Drive process enhancements and change execution, supporting change management efforts, embedding new ways of working and enabling capability uplift through upskilling during implementation or transformation context.</p><p><br></p><p>-Applying Generative AI tools and techniques (e.g. LLM workflows, agentic systems, retrieval-based solutions) to accelerate transformation and change management outcomes </p><p><br></p><p>-Additionally, as a Senior Analyst, you will contribute to codifying knowhow & assets emerging from case and proposal work and will assist in onboarding and training junior colleagues based on your expertise. </p><p><br></p><p> </p><p><b><br></b></p><p><b>YOU'RE GOOD AT: </b></p><p>- Helping solve client problems while executing long tail implementation programs </p><p>- Translating business strategies into practical actions </p><p>- Applying business and financial acumen to assess trade-offs and support value creation </p><p>- Maintaining focus on execution discipline and outcomes </p><p>- Working collaboratively and effectively in a group dynamic, in-person or virtually </p><p>- Working in agile ways, adapting approaches based on evolving business needs </p><p>- Communicating clearly and credibly with a diverse array of team, stakeholder, and client professionals </p><p>- Bringing a curious, flexible and creative mindset, open to new things and able to propose innovative ideas. </p><p>- Navigating complexity and ambiguity</p><p><br></p><p>-Ability to rapidly prototype analytical and AI-driven solutions using modern tooling and iterative experimental approaches </p><p><br></p><p><b><br></b></p><p><b><br></b></p><p><b>What You'll Bring</b></p><p><br></p><p>2+ years of consulting experience in operations, implementation, or transformation related field roles strongly preferred </p><p>In lieu of consulting experience, 2+ years minimum industry experience required; 3-6+ years of industry experience strongly preferred </p><p>Proven experience in effectively translating strategy into action </p><p>Bachelor's Degree required (advanced degree preferred) </p><p>Fluency in Arabic and English </p><p>Strong business and financial acumen </p><p>Strong analytical and problem-solving capabilities </p><p>Excellent written and verbal communication skills, with ability to engage credibly with senior stakeholders</p><p>Using Python, SQL, and modern analytical/AI tooling to support problem-solving, automation, and using generation is a plus </p><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>2+ years of consulting experience in operations, implementation, or transformation related field roles strongly preferred In lieu of consulting experience, 2+ years minimum industry experience required; 3-6+ years of industry experience strongly preferred Proven experience in effectively translating strategy into action Bachelor's Degree required (advanced degree preferred) Fluency in Arabic and English Strong business and financial acumen Strong analytical and problem-solving capabilities Excellent written and verbal communication skills, with ability to engage credibly with senior stakeholders Using Python, SQL, and modern analytical/AI tooling to support problem-solving, automation, and using generation is a plus</p><p></p></section>
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Project description
Large bank in Saudi is looking for Integration Stream Lead for its Murex greenfield implementation project.
Responsibilities
Integration Stream Lead will be responsible of the end-to-end delivery of interfaces which includes Requirement gathering, Design, Build, Test, Deployment, Support.
MxML workflow integration with up and downstream systems (FMDW, TOMS, BSMT, etc)
Building interfaces with Murex and other systems using Java, Linux Scripts and Python.
Build, enhance and debug Datamart reports
Regression Cycle analysis (EOD run and diff analysis)
Skills
Must have
10-15 years of total working experience
10+ years as integration lead experience
Experience on Mx3.1 MxML Exchange
Market Data and Unix scripting
Strong experience on interfaces (Bloomberg, Refinitiv, IHS Markit...) to trading platforms and market data providers
Must have worked on packaged interfaces
Strong Shell Scripting capability
Good SQL programming skills
Good knowledge of overall Murex system
Understanding of Control-M
Good ability to suggest improvements in existing solutions
Product knowledge
FX, IRD, FI, EQD, CRD, MM, COM
Nice to have
NA
Other
Languages
English: C2 Proficient
Seniority
Regular</p><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>