Python Developer Jobs in Saudi

Role Purpose Drive AI adoption across the SP&I by identifying automation opportunities, developing solutions using LLMs (including Microsoft Copilot), and transforming business processes into scalable workflows.<br>Key Responsibilities· Analyze business processes and identify AI opportunities· Design and implement AI-driven solutions· Build internal tools for reporting and analytics· Collaborate with cross-functional teams· Prioritize AI use cases and execute pilots· Measure ROI and ensure governance<br>Required Skills Technical:· Python· APIs integration· Data handling (Pandas, SQL)· Prompt engineering· Automation tools· Microsoft Copilot experience· Azure AI services familiarity<br>Business:· Process understanding· Problem solving· Communication<br>Qualifications Required:· Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or Computer Engineering<br>Alternative Backgrounds (with AI experience):· Business Analytics· Industrial Engineering· Electrical Engineering<br>Preferred:· Master’s degree in Artificial Intelligence, Data Science, or Machine Learning<br>Certifications (Nice to Have):· Microsoft Azure AI certifications· Machine Learning or Data Science certifications· Hands-on experience with Microsoft Copilot

Role Purpose Drive AI adoption across the SP&I by identifying automation opportunities, developing solutions using LLMs (including Microsoft Copilot), and transforming business processes into scalable workflows.<br>Key Responsibilities· Analyze business processes and identify AI opportunities· Design and implement AI-driven solutions· Build internal tools for reporting and analytics· Collaborate with cross-functional teams· Prioritize AI use cases and execute pilots· Measure ROI and ensure governance<br>Required Skills Technical:· Python· APIs integration· Data handling (Pandas, SQL)· Prompt engineering· Automation tools· Microsoft Copilot experience· Azure AI services familiarity<br>Business:· Process understanding· Problem solving· Communication<br>Qualifications Required:· Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or Computer Engineering<br>Alternative Backgrounds (with AI experience):· Business Analytics· Industrial Engineering· Electrical Engineering<br>Preferred:· Master’s degree in Artificial Intelligence, Data Science, or Machine Learning<br>Certifications (Nice to Have):· Microsoft Azure AI certifications· Machine Learning or Data Science certifications· Hands-on experience with Microsoft Copilot

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities</p><ul><li>Validate 1D data packages against corporate standards, identifying and resolving formatting, depth, or metadata errors.</li><li>Liaise between technical users and service providers/IT to define requirements and ensure seamless data flow into subsurface systems.</li><li>Apply data governance rules, maintain submission templates, and consistency of data storage practices.</li><li>Monitor data quality metrics and provide technical support to internal stakeholders.</li></ul><p>Experience</p><ul><li>Minimum 10 years of experience in Oil &amp; Gas, specifically in petrophysics and data quality management.</li></ul><p>Education</p><ul><li>Bachelor's or Master's degree in Geology, Geophysics, or Petroleum Engineering.</li></ul><p>Technical Skills</p><ul><li>Deep knowledge of well log and core physics.</li><li>Experience with LAS/ASCII petrophysics data formats and subsurface information systems such as Techlog or Petrel.</li><li>Advanced capability in data analysis, data science, or business analytics.</li><li>Advanced skills in Excel, SQL, or Python for data validation are preferred.</li></ul><p>Soft Skills</p><ul><li>Professional proficiency in English, with strong communication skills and the ability to resolve conflicts and work effectively across multiple departments.</li></ul><p>Selection criteria</p><ul><li>Excellent project management capabilities.</li><li>Experience coordinating work across multiple departments to resolve data or process issues is a plus.</li></ul><p>Preferred certificate</p><ul><li>Master's degree in Data Analysis, Data Science, Business Analytics, or MIS is preferred.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience</p><ul><li>Minimum 10 years of experience in Oil &amp; Gas, specifically in petrophysics and data quality management.</li></ul><p>Education</p><ul><li>Bachelor's or Master's degree in Geology, Geophysics, or Petroleum Engineering.</li></ul><p>Technical Skills</p><ul><li>Deep knowledge of well log and core physics.</li><li>Experience with LAS/ASCII petrophysics data formats and subsurface information systems such as Techlog or Petrel.</li><li>Advanced capability in data analysis, data science, or business analytics.</li><li>Advanced skills in Excel, SQL, or Python for data validation are preferred.</li></ul><p>Soft Skills</p><ul><li>Professional proficiency in English, with strong communication skills and the ability to resolve conflicts and work effectively across multiple departments.</li></ul><p>Selection criteria</p><ul><li>Excellent project management capabilities.</li><li>Experience coordinating work across multiple departments to resolve data or process issues is a plus.</li></ul><p>Preferred certificate</p><ul><li>Master's degree in Data Analysis, Data Science, Business Analytics, or MIS is preferred.</li></ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Nameless Ventures, a venture-backed SaaS startup in the digital infrastructure sector, is seeking a Backend Developer. This role offers significant ownership of the core product, contributing to a platform used by thousands of users for secure and efficient management of business agreements. The company is experiencing strong growth and has secured substantial funding, entering a new phase of expansion.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">As a Backend Developer, you will be responsible for developing and scaling the company's core backend services and APIs. You will play a key role in designing and building secure, reliable systems that support the company's SaaS offering. This position provides a high degree of ownership within a fast-scaling, investor-backed environment, with opportunities for progression into senior roles as the product and team evolve.</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;">Own and scale core backend services and APIs, including those for verification, workflows, AI features, and integrations.</li> <li style="margin:0 0 6px;">Design and build secure and reliable backend systems.</li> <li style="margin:0 0 6px;">Work across both cloud and on-premise deployment environments.</li> <li style="margin:0 0 6px;">Contribute to critical architecture decisions and influence product direction.</li> <li style="margin:0 0 6px;">Write clean, well-tested code as part of day-to-day development activities.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Demonstrated experience in backend development.</li> <li style="margin:0 0 6px;">Proven experience working with Python.</li> <li style="margin:0 0 6px;">Experience in B2B SaaS environments.</li> <li style="margin:0 0 6px;">Experience building and scaling APIs and backend services.</li> <li style="margin:0 0 6px;">Solid understanding of secure and reliable system design principles.</li> <li style="margin:0 0 6px;">Comfortable working across both cloud and on-premise environments.</li> <li style="margin:0 0 6px;">A strong testing mindset, including proficiency in unit, integration, and API testing.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">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;">Backend Development</li> <li style="margin:0 0 6px;">Python</li> <li style="margin:0 0 6px;">B2B SaaS</li> <li style="margin:0 0 6px;">API Development and Scaling</li> <li style="margin:0 0 6px;">Backend Service Development</li> <li style="margin:0 0 6px;">Secure System Design</li> <li style="margin:0 0 6px;">Reliable System Design</li> <li style="margin:0 0 6px;">Cloud Environments</li> <li style="margin:0 0 6px;">On-Premise Environments</li> <li style="margin:0 0 6px;">Unit Testing</li> <li style="margin:0 0 6px;">Integration Testing</li> <li style="margin:0 0 6px;">API Testing</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Details</h3> <p style="margin:0 0 12px; ************;">This is a full-time, remote position. The salary offered is between $3,000 and $4,000 per month, plus benefits. Candidates are required to be located within +/- 4 hours of Riyadh time. The company offers significant ownership in a fast-scaling, investor-backed company with clear progression paths.</p>

This is a remote position. About the role<br>SiFi is a B2B spend management platform operating under SAMA regulation. We move fast and we decide with data, which means someone has to build the reporting layer everyone relies on and then go digging when the numbers look wrong.<br>This role does both. You will own the dashboards that the business runs on, and you will be the person who takes an ambiguous question and comes back with an answer people can act on.<br>What you'll do<br> Build and maintain dashboards across spend, card operations, support, and GTM. Own them end to end: definitions, data quality, refresh reliability.<br> Write SQL directly against our core banking database and other production sources. Most of the interesting work starts here.<br> Run deep dives on demand: decline code patterns, cohort behaviour, funnel drop-offs, campaign performance, anomalies flagged by ops.<br> Turn findings into decisions. A clear recommendation with a stated confidence level beats a beautiful chart with no conclusion.<br> Define and document metrics so the same number means the same thing across teams.<br> Support regulatory and internal reporting where analytics is the input.<br> Automate the repetitive parts. If you're pulling the same extract every week, build it once and stop.<br> <br> <br><br>Requirements<br><br>What we're looking for<br>Required<br> Strong SQL. You can write and debug complex joins, window functions, and CTEs against a large transactional schema without hand-holding.<br> Experience building dashboards in a BI tool (Metabase, Power BI, Tableau, Looker, or similar).<br> Python or R for analysis beyond what SQL handles cleanly.<br> Ability to scope a vague business question into something answerable, and to say clearly when the data can't answer it.<br> Comfortable working directly with ops, product, and commercial stakeholders.<br> Nice to have<br> Fintech, payments, or banking background. Familiarity with card transaction data, authorisation flows, or scheme reporting is a strong advantage.<br> Exposure to KSA financial services and SAMA reporting requirements.<br> Workflow automation experience (n8n, Airflow, or similar).<br><br>Skills: **Required**<br><br>- 2-5 years of experience in a similar role.<br>- Strong SQL. You can write and debug complex joins, window functions, and CTEs against a large transactional schema without hand-holding.<br>- Experience building dashboards in a BI tool (Metabase, Power BI, Tableau, Looker, or similar).<br>- Python or R for analysis beyond what SQL handles cleanly.<br>- Ability to scope a vague business question into something answerable, and to say clearly when the data can't answer it.<br>- Comfortable working directly with ops, product, and commercial stakeholders.<br><br>**Nice to have**<br><br>- Fintech, payments, or banking background. Familiarity with card transaction data, authorisation flows, or scheme reporting is a strong advantage.<br>- Exposure to KSA financial services and SAMA reporting requirements.<br>- Workflow automation experience (n8n, Airflow, or similar).

We are looking for a Senior Data and infrastructure Enginee to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilties:<br><br>Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Postgre SQL, MySQL, Google Analytics, Big Query, Google Ads, Adjust, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Have experience working s3 compatible open source solution and managed solutions Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing Strong communication skills in English

Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.<br><br>Job Description<br><br>Hunger Station is hiring a Senior Data Engineer I to design, build, and scale our data platform and processing frameworks that power analytics, AI-driven applications, and business intelligence across the organization.<br><br>This role sits at the core of our data ecosystem focusing on scalability, reliability, and performance of data systems.<br><br>You Will Be Working On<br><br>Design, implement, and extend scalable data platforms and architectures Build and maintain high-performance data pipelines and data models using Big Query Optimize datasets and workloads for performance and cost efficiency Develop analytics-ready data models, semantic layers, and governed metrics Build backend services and APIs using Python or Java to support data applications Contribute to AI-enabled data use cases (e.g., automated insights, conversational analytics) Improve system reliability by addressing technical debt and scaling challenges Implement best practices across CI/CD, testing, monitoring, and deployment automation Manage and optimize cloud infrastructure supporting the data platform Collaborate with cross-functional teams to ensure data quality and engineering standards Ensure compliance with data governance, privacy, and security standards Improve monitoring frameworks and operational resilience of the data platform Support initiatives to enhance data quality, reliability, and system stability<br><br>Qualifications<br><br>5–8 years of experience in Data Engineering or similar roles Bachelor’s degree in Computer Science, Engineering, or related field Master’s or relevant certifications are a plus Strong experience building scalable distributed data systems Hands-on with GCP (Big Query preferred) Proven experience with ETL/ELT pipelines and data modeling Experience with modern data stack (Airflow, dbt, Looker) Strong SQL skills and understanding of relational data systems Experience with Python or Java for backend/data services Familiarity with Infrastructure-as-Code (Terraform preferred) Experience with CI/CD, testing, and monitoring practices Exposure to AI-driven data applications or LLM integrations is a plus<br><br>Additional Information<br><br>We offer relocation support globally to our permanent employees. Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community. Develop your skills with your personal educational budget for conferences and external training. Access our e-learning platform Linked In and participate in our various in-house training programs And much more…

We are looking for a Senior Data and infrastructure Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilities<br><br>Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Postgre SQL, MySQL, Google Analytics, Big Query, Google Ads, Adjust, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Have experience working s3 compatible open source solution and managed solutions Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing Strong communication skills in English

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>About the Role:</strong><br><p>We are seeking a detail-oriented Risk Analyst to join our team in Saudi Arabia. In this role, you will identify, assess, and monitor operational and financial risks, deliver data-driven insights, and work closely with internal and external stakeholders to drive risk mitigation strategies and regulatory compliance.</p><br><strong>Responsibilities:</strong><br><ul><li>Conduct comprehensive risk assessments and scenario analyses using quantitative and qualitative methodologies</li><li>Develop, maintain, and enhance risk models and reporting tools to track key risk indicators</li><li>Prepare timely risk reports and presentations for senior management and regulatory bodies</li><li>Collaborate with business units and stakeholders to identify risk exposures and implement mitigation plans</li><li>Monitor changes in regulatory requirements and ensure compliance with local and international regulations</li><li>Support the development and implementation of risk management policies, procedures, and controls</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>2–5 years of experience in risk analysis, financial auditing, or related fields</li><li>Bachelor’s degree in Finance, Economics, Risk Management, or a related discipline</li><li>Proven experience with risk analysis methodologies and technical tools</li><li>Strong reporting skills, including data extraction and presentation using Excel or risk management software</li><li>Excellent stakeholder management and communication skills, both written and verbal</li><li>Sound understanding of Saudi Arabian regulatory frameworks and industry best practices</li><li>Demonstrated analytical thinking and problem-solving abilities</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certification such as FRM, PRM, or CFA</li><li>Experience in banking, energy, or oil and gas sectors</li><li>Familiarity with local regulatory authorities (SAMA, CMA)</li><li>Hands-on experience with SQL, Python, or data visualization tools (Power BI, Tableau)</li></ul><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">General Skills<br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Threat Detection Engineer at COGNNA, you ll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard. You ll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering.</p><p>Advanced Threat Detection Engineering</p><ul><li>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms.</li><li>Translate adversary TTPs (MITRE ATT&amp;CK), threat intel, and vulnerability data into actionable logic.</li><li>Identify detection gaps and introduce new data sources to cover evolving threat landscapes.</li><li>Automate detection testing and maintain detection quality over time.</li></ul><p>Platform Engineering &amp; Optimization</p><ul><li>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience.</li><li>Streamline log ingestion pipelines from parsing to normalization and enrichment.</li><li>Build scripts and automations (Python, PowerShell) to enhance SOC efficiency.</li><li>Integrate tools across the SOC stack to enable seamless workflows and response.</li></ul><p>Threat Hunting &amp; Incident Response</p><ul><li>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts.</li><li>Provide Tier-3+ support for incident investigations and post-mortem analysis.</li></ul><p>Mentorship &amp; SOC Maturity</p><ul><li>Improve SOC playbooks, SOPs, and detection engineering workflows.</li><li>Stay updated on global and regional threats and evolve detection accordingly.</li><li>Ensure compliance alignment (e.g., NCA ECC, SAMA CSF).</li></ul><p>Impact that Matters</p><ul><li>Build products that shape the future of cybersecurity and protect organizations globally.</li></ul><p>On-Site Collaboration</p><ul><li>Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.</li></ul><p>Continuous Growth</p><ul><li>Access to certifications, trainings, and opportunities to sharpen your expertise.</li></ul><p>Ownership Mindset</p><ul><li>Benefit from our ESOP program and grow with COGNNA s success.</li></ul><p>Culture of Trust</p><ul><li>We empower talent, encourage ownership, and celebrate real outcomes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s in Computer Science, Cybersecurity, or related field.</li><li>Hands-on expertise in developing and maintaining complex detection use cases.</li><li>Strong understanding of attacker behavior, IR fundamentals, and digital forensics.</li><li>Technical Skills (You re a Power User!)</li><ul><li>SIEM: Expert in SIEM queries (SPL, KQL, Lucene), rule tuning, UEBA, and scaling.</li><li>EDR: Deep knowledge of EDR tools and endpoint detection tactics.</li><li>Network Security: Pro at packet analysis (Wireshark), IDS/IPS, and NetFlow.</li><li>Scripting: Advanced skills in Python and/or PowerShell for automation and integration.</li><li>OS Internals: Mastery of Windows/Linux/macOS logging, artifacts, and forensic value.</li><li>Threat Intelligence: Skilled in turning threat intel into real-time detection logic.</li><li>Cloud Security: Strong command of monitoring IaaS/PaaS/SaaS environments.</li></ul><li>Certifications (Highly Preferred)</li><ul><li>SANS GIAC (GDAT, GMON, GCIA, GCTI, GCIH)</li><li>Offsec (OSDA)</li><li>INE (eCTHP, eCIR)</li><li>(ISC) CISSP, CSSLP</li></ul><li>Soft Skills</li><ul><li>Exceptional analytical thinking and creative problem-solving.</li><li>Excellent communication (English &amp; Arabic), including technical reporting.</li><li>Strong mentorship abilities and a collaborative spirit.</li><li>Self-motivated, focused, and passionate about cyber defense.</li><li>Capable of juggling priorities under high-pressure situations.</li></ul></ul><p></p></section>

We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilities:<br><br>Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, Big Query, Google Ads, Adjust, Postgre SQL, MySQL, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>2+ years of professional experience in Data Engineering, Data Warehousing, or a related field Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing Strong communication skills in English<br><br><br>What Makes You Successful<br><br>You are a proactive problem solver who enjoys tackling complex technical challenges You have a strong attention to detail and a passion for building reliable, high-quality data solutions You take ownership of your work and can operate independently when needed You are collaborative, curious, and enjoy sharing knowledge with others You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies

<p>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases.</p><p>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.</p><p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.</p><p>We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.</p><p>A methodical, detail-oriented approach and the ability to work independently are essential.</p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements.</p><p>This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.</p><p>We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.</p><p>A methodical, detail-oriented approach and the ability to work independently are essential.</p><strong>Technical Skills (Essential)</strong><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><strong>Additional requirements</strong><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>

Position Summary We are seeking a highly motivated and skilled Senior HPC Systems Administrator to join the KAUST Supercomputing Laboratory (KSL). The successful candidate will be responsible for managing an HPC cluster of approximately 600 CPU and GPU nodes, HPC storage systems, Infini Band and Ethernet networks, and day-to-day operational issues. The role provides broad support to researchers and end-users across computational science, engineering, big data analysis, and artificial intelligence/machine learning workloads.<br>Major Responsibilities – include but are not limited to - <br>Provide timely and effective user support via telephone, walk-in, email, and ticketing system for all inquiry types while maintain high customer service standards. Install, configure, and manage HPC subsystems including compute nodes, high-performance storage systems, Infini Band, Ethernet, and configuration management tools (e.g., Ansible, Puppet). Deploy and manage cluster management software, monitoring tools, and supporting services for operating HPC clusters. Install and administer the Slurm workload manager, manage QOS policies, accounts, accounting, and related automation scripts (Python and C++). Develop and maintain automation scripts in Bash and Python to streamline system administration tasks. Deploy and manage container environments (Singularity/Apptainer, Docker) for HPC workloads. Benchmark HPC system components like CPU, memory, Infini Band, and storage periodically to ensure optimal performance and identify tuning opportunities across hardware, driver, and application layers. Enforce security best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity planning. Directly support research activities in computational science, engineering, data analysis, and AI/ML by working closely with faculty, researchers, collaboration partners, and industrial partners in collaboration with application support teams. Develop software tools and utilities as needed to support research projects on cluster systems and subsystems. Drive proof-of-concept projects and technology evaluations end-to-end and research industry best practices and advocate system enhancements. Coordinate with vendors and third-party service providers to report and resolve issues in a timely manner. Develop and maintain user documentation, standard operating procedures, and training materials in the internal wiki. Stay at the forefront of HPC advancements through continuous learning, industry conferences, and professional collaboration, while driving benchmarking initiatives to inform future hardware procurement.<br>Competencies<br>Expertise in supporting users of computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. Strong expertise in Linux system administration (RHEL, Rocky Linux, or Cent OS) in large-scale HPC environments. Proficiency with HPC applications and programming models (Fortran, C/C++, Python, MPI, Open MP, CUDA, Open ACC). Demonstrated track record of managing complex HPC systems, including parallel file systems, job schedulers, Infini Band/Ethernet networks, and monitoring systems. Experience with configuration management tools (Ansible, Puppet, or equivalent). Familiarity with computational science, data analysis, and AI/ML applications and libraries used in HPC environments. Knowledge of project management principles and practices. Demonstrated ability to support research activities in a highly collaborative HPC environment. Strong analytical, problem-solving, and decision-making skills. Proactively identifies and implements system improvements; takes initiative and sees tasks through to closure. Ability to manage multiple concurrent projects and deliver high-quality results within deadlines. Proven ability to collaborate cross-functionally with researchers, application teams, and vendors. Effective in multi-cultural, international work environments. Excellent verbal and written communication skills in English, including the ability to prepare and deliver technical reports and presentations.<br>Qualifications Education requirement, minimum: Bachelor’s or master’s degree in computer science/engineering, Information Systems, or equivalent<br>Experience Experience requirement, minimum: Five years of experience supporting large scale computing platforms and related subsystems. Experience troubleshooting complex hardware issues and documenting root cause analysis. Experience managing parallel storage systems (Lustre, GPFS, Weka, Vast, or similar). Experience benchmarking HPC system components (CPU, memory, Infini Band, storage). Experience administering workload managers/schedulers (Slurm, LSF, or PBS). Strong Linux system administration experience (RHEL, Rocky Linux, or Cent OS). Experience with configuration management tools such as Ansible or Puppet. Ability to coordinate with researchers, application support teams, and vendors to resolve complex issues and drive them to closure. Proven ability to collaborate cross-functionally and drive initiatives to completion. Familiarity with Kubernetes and container orchestration platforms would be desirable

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI &amp; Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps &amp; AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud &amp; Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering &amp; Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence &amp; Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents &amp; Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring &amp; Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers &amp; DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Native or Fluent Arabic Speaker.</li><li>6 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.<br>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.</p><br><p>Your responsibilities will include:</p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>2-5 years: Data Engineer</li><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Experience working with business stakeholders either internally or externally</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.</li></ul><p>Artefact is the place to be: come and build the future of data and AI</p><br><p><strong>Innovation:</strong> We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration:&amp;nbsp;</strong>We believe in bringing talented people together, winning together, and in learning from each other.</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>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role: Artificial Intelligence Engineer</h3> <p style="margin:0 0 12px; ************;">MIS - Al Moammar Information Systems Co. is seeking an <strong style="font-weight:700;">Artificial Intelligence Engineer</strong> to join their team in <strong style="font-weight:700;">Riyadh, Saudi Arabia</strong>. This <strong style="font-weight:700;">full-time</strong> position focuses on designing, developing, and deploying advanced AI/ML solutions for various business and operational use cases. The role involves integrating machine learning and deep learning models into applications and platforms, contributing to the advancement of AI capabilities within the company.</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, develop, and deploy AI/ML solutions for business and operational use cases.</li> <li style="margin:0 0 6px;">Develop and integrate machine learning and deep learning models into applications and platforms.</li> <li style="margin:0 0 6px;">Work with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and AI agents where applicable.</li> <li style="margin:0 0 6px;">Build AI solutions using Python and relevant AI/ML frameworks and libraries.</li> <li style="margin:0 0 6px;">Develop and integrate AI APIs and services into enterprise applications.</li> <li style="margin:0 0 6px;">Perform data preparation, model training, evaluation, optimization, and monitoring.</li> <li style="margin:0 0 6px;">Collaborate with software engineers, data teams, business analysts, and stakeholders to translate requirements into AI solutions.</li> <li style="margin:0 0 6px;">Ensure AI solutions are scalable, reliable, secure, and suitable for production environments.</li> <li style="margin:0 0 6px;">Stay up to date with emerging AI technologies, tools, frameworks, and industry best practices.</li> <li style="margin:0 0 6px;">Prepare technical documentation and contribute to AI architecture and solution design.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Candidate Profile 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;">A minimum of <strong style="font-weight:700;">3+ years of professional experience</strong> in AI/ML engineering or a related role.</li> <li style="margin:0 0 6px;">Demonstrated experience working with APIs, databases, and integrating AI models into enterprise applications.</li> <li style="margin:0 0 6px;">Good understanding of machine learning algorithms, model evaluation, and data processing techniques.</li> <li style="margin:0 0 6px;">Strong analytical, problem-solving, communication, and teamwork skills.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Proficiencies</h3> <p style="margin:0 0 12px; ************;">Candidates should possess proficiency in building AI solutions using <strong style="font-weight:700;">Python</strong> and relevant AI/ML frameworks and libraries. Familiarity with cloud AI/ML platforms is considered a plus. Knowledge of <strong style="font-weight:700;">Docker, Git, CI/CD, and MLOps</strong> is also beneficial for this role.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Setting</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">full-time</strong> position based in <strong style="font-weight:700;">Riyadh, Saudi Arabia</strong>. The role involves working collaboratively within a team environment, engaging with various technical and business stakeholders to deliver robust AI solutions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Join Our Team</h3> <p style="margin:0 0 12px; ************;">Join MIS - Al Moammar Information Systems Co. and contribute to the development of innovative artificial intelligence solutions that drive business and operational advancements.</p>

<p>We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models. You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code. Your work is what makes the training signal trustworthy. To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.</p><p>What you'll do</p><ul><li>Write original algorithmic problems clear statement, sound constraints, an intended solution;</li><li>Write correct solutions in C++ and Python;</li><li>Write realistic wrong solutions (common mistakes) to test against;</li><li>Build and harden test cases: generators, edge cases, stress and "hacking" tests;</li><li>Write checkers/interactors (testlib) for problems with more than one valid answer;</li><li>Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.</li></ul><p>What we look for</p><ul><li>Strong competitive programming background, shown by a public profile a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record;</li><li>Fluent contest C++ (STL, complexity); comfortable writing Python;</li><li>Can explain why a solution is wrong and build an input that breaks it;</li><li>Strong written English (C1+).</li></ul><p>Levels (by Codeforces rating, or equivalent olympiad achievement):</p><ul><li>Associate 1PHONE_NUMBER (Expert / Candidate Master): easier problems;</li><li>Expert 2PHONE_NUMBER (Master / Grandmaster): harder problems</li><li>Senior / Reviewer 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.</li></ul><p>Nice to have</p><ul><li>IOI / ICPC alumni and top competitive programmers especially encouraged to apply;</li><li>Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges);</li><li>Testlib experience (checkers, validators, generators);</li><li>Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.</li></ul><p>How it works</p><ol><li>Apply</li><li>Pass qualification(s)</li><li>Join a project</li><li>Complete tasks</li><li>Get paid</li></ol><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p><p>Compensation</p><p>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks. Because payment is per task, a faster pace raises your effective hourly rate.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>