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As a Threat Detection COOP 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.<br><br>???? Advanced Threat Detection Engineering<br><br>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms Translate adversary TTPs (MITRE ATT&CK), threat intel, and vulnerability data into actionable logic Identify detection gaps and introduce new data sources to cover evolving threat landscapes Automate detection testing and maintain detection quality over time<br><br>⚙️ Platform Engineering & Optimization<br><br>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience Streamline log ingestion pipelines — from parsing to normalization and enrichment Build scripts and automations (Python, Power Shell) to enhance SOC efficiency Integrate tools across the SOC stack to enable seamless workflows and response. <br><br>????️‍♂️ Threat Hunting & Incident Response<br><br>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts Provide Tier-3+ support for incident investigations and post-mortem analysis<br><br>???? Mentorship & SOC Maturity<br><br>Improve SOC playbooks, SOPs, and detection engineering workflows Stay updated on global and regional threats — and evolve detection accordingly Ensure compliance alignment (e.g., NCA ECC, SAMA CSF)<br><br>Requirements<br><br>Minimum Requirements (Must Haves):<br><br>Education: Currently enrolled in their final year of a Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a closely related field, with graduation planned within or immediately following the 6-month co-op Foundational Security Knowledge: Basic understanding of cybersecurity concepts, including common attack vectors, the Windows/Linux operating system internals, and network protocols Programming/Scripting Basics: Familiarity with writing simple scripts in Python or Power Shell to automate repetitive tasks or parse data Log & System Familiarity: Basic understanding of what logs are (e.g., Windows Event Logs, Syslog) and an interest in how they are collected and analyzed Duration: Availability to commit to a full-time (or near full-time, depending on university rules) 6-month continuous Co-op assignment<br><br>Preferred Qualifications (Nice to Haves / Big Plusses):<br><br>Framework Familiarity: Conceptual knowledge of the MITRE ATT&CK framework and how it maps to adversary behaviors Hands-on Exposure: Previous experience using SIEM/XDR platforms, or building a home lab (e.g., Splunk, Elastic, Wireshark) Regulatory Awareness: A general awareness of cybersecurity frameworks or local compliance standards (like NCA ECC or SAMA CSF) Soft Skills: Strong analytical mindset, a high level of curiosity to dig into threat trends, and excellent written documentation skills<br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? On-Site Collaboration - Be at the heart of innovation in our Almadina office, working side by side with passionate experts.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

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.<br><br>???? Advanced Threat Detection Engineering<br><br>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms Translate adversary TTPs (MITRE ATT&CK), threat intel, and vulnerability data into actionable logic Identify detection gaps and introduce new data sources to cover evolving threat landscapes Automate detection testing and maintain detection quality over time<br><br>⚙️ Platform Engineering & Optimization<br><br>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience Streamline log ingestion pipelines — from parsing to normalization and enrichment Build scripts and automations (Python, Power Shell) to enhance SOC efficiency Integrate tools across the SOC stack to enable seamless workflows and response. <br><br>????️‍♂️ Threat Hunting & Incident Response<br><br>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts Provide Tier-3+ support for incident investigations and post-mortem analysis<br><br>???? Mentorship & SOC Maturity<br><br>Improve SOC playbooks, SOPs, and detection engineering workflows Stay updated on global and regional threats — and evolve detection accordingly Ensure compliance alignment (e.g., NCA ECC, SAMA CSF)<br><br>Requirements<br><br>???? Education<br><br>Bachelor's in Computer Science, Cybersecurity, or related field. <br><br>???? Experience<br><br>Hands-on expertise in developing and maintaining complex detection use cases Strong understanding of attacker behavior, IR fundamentals, and digital forensics. <br><br>???? Technical Skills (You're a Power User!)<br><br>SIEM: Expert in SIEM queries (SPL, KQL, Lucene), rule tuning, UEBA, and scaling EDR: Deep knowledge of EDR tools and endpoint detection tactics Network Security: Pro at packet analysis (Wireshark), IDS/IPS, and Net Flow Scripting: Advanced skills in Python and/or Power Shell for automation and integration OS Internals: Mastery of Windows/Linux/mac OS logging, artifacts, and forensic value Threat Intelligence: Skilled in turning threat intel into real-time detection logic Cloud Security: Strong command of monitoring Iaa S/Paa S/Saa S environments<br><br>???? Certifications (Highly Preferred)<br><br>???? SANS GIAC (GDAT, GMON, GCIA, GCTI, GCIH)???? Offsec (OSDA)???? INE (e CTHP, e CIR)???? (ISC)² CISSP, CSSLP <br><br>???? Soft Skills<br><br>Exceptional analytical thinking and creative problem-solving Excellent communication (English & Arabic), including technical reporting Strong mentorship abilities and a collaborative spirit Self-motivated, focused, and passionate about cyber defense Capable of juggling priorities under high-pressure situations<br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? On-Site Collaboration - Be at the heart of innovation in our Almadina office, working side by side with passionate experts.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Ownership Mindset - Benefit from our ESOP program and grow with COGNNA's success.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

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.<br><br>???? Advanced Threat Detection Engineering<br><br>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms Translate adversary TTPs (MITRE ATT&CK), threat intel, and vulnerability data into actionable logic Identify detection gaps and introduce new data sources to cover evolving threat landscapes Automate detection testing and maintain detection quality over time<br><br>⚙️ Platform Engineering & Optimization<br><br>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience Streamline log ingestion pipelines — from parsing to normalization and enrichment Build scripts and automations (Python, Power Shell) to enhance SOC efficiency Integrate tools across the SOC stack to enable seamless workflows and response. <br><br>????️‍♂️ Threat Hunting & Incident Response<br><br>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts Provide Tier-3+ support for incident investigations and post-mortem analysis<br><br>???? Mentorship & SOC Maturity<br><br>Improve SOC playbooks, SOPs, and detection engineering workflows Stay updated on global and regional threats — and evolve detection accordingly Ensure compliance alignment (e.g., NCA ECC, SAMA CSF)<br><br>Requirements<br><br>???? Education<br><br>Bachelor's in Computer Science, Cybersecurity, or related field. <br><br>???? Experience<br><br>Minimum 3 years of experience with hands-on expertise in developing and maintaining complex detection use cases Strong understanding of attacker behavior, IR fundamentals, and digital forensics. <br><br>???? Technical Skills (You're a Power User!)<br><br>SIEM: Expert in SIEM queries (SPL, KQL, Lucene), rule tuning, UEBA, and scaling EDR: Deep knowledge of EDR tools and endpoint detection tactics Network Security: Pro at packet analysis (Wireshark), IDS/IPS, and Net Flow Scripting: Advanced skills in Python and/or Power Shell for automation and integration OS Internals: Mastery of Windows/Linux/mac OS logging, artifacts, and forensic value Threat Intelligence: Skilled in turning threat intel into real-time detection logic Cloud Security: Strong command of monitoring Iaa S/Paa S/Saa S environments<br><br>???? Certifications (Highly Preferred)<br><br>???? SANS GIAC (GDAT, GMON, GCIA, GCTI, GCIH)???? Offsec (OSDA)???? INE (e CTHP, e CIR)???? (ISC)² CISSP, CSSLP <br><br>???? Soft Skills<br><br>Exceptional analytical thinking and creative problem-solving Excellent communication (English & Arabic), including technical reporting Strong mentorship abilities and a collaborative spirit Self-motivated, focused, and passionate about cyber defense Capable of juggling priorities under high-pressure situations<br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? On-Site Collaboration - Be at the heart of innovation in our Almadina office, working side by side with passionate experts.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Ownership Mindset - Benefit from our ESOP program and grow with COGNNA's success.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

<h3 >About the Role</h3> <p >Ninja, a quick-commerce company, is seeking a <strong >Senior Data and Infrastructure Engineer</strong> to join its Data Team in Riyadh, Riyadh Province. This full-time role is central to transforming the company into a truly data-driven organization. The successful candidate will design and build scalable data solutions that provide business teams with reliable, high-quality data and actionable insights.</p> <h3 >Role Purpose and Impact</h3> <p >This position focuses on addressing complex data challenges and developing robust data platforms within an international and collaborative environment. The engineer will play a critical role in evolving the data architecture to support advanced analytics, reporting, and informed decision-making across the organization, ensuring data quality and consistency.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, deploy, and maintain scalable, open-source data solutions for a rapidly growing international business.</li> <li >Build and evolve the data architecture to enable advanced analytics, reporting, and data-driven decision-making.</li> <li >Develop and optimize CDC / ETL/ELT pipelines for both batch and near real-time data processing.</li> <li >Support analytical and machine learning workflows by providing reliable and well-structured datasets.</li> <li >Integrate data from diverse sources, including transactional databases, third-party platforms, and external APIs (*, PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust).</li> <li >Collaborate with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance.</li> <li >Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open-source solutions.</li> <li >Evaluate and recommend new technologies (open source/managed), tools, and architectural approaches to enhance the data ecosystem.</li> <li >Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.</li> <li >4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops, or a related field.</li> <li >Good hands-on experience with one of the major cloud platforms, with AWS preferred.</li> <li >Expert hands-on experience with Linux tools.</li> <li >Ability to deploy applications using Docker on bare metal servers.</li> <li >Strong expertise in SQL (PSQL) and relational database concepts, including data modeling and query optimization.</li> <li >Experience designing and maintaining data warehouse architectures.</li> <li >Hands-on experience with columnar databases and performance optimization techniques.</li> <li >Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.</li> <li >Solid programming skills in Python or Java, with a preference for Python.</li> <li >Good understanding of Linux environments and scripting (Bash).</li> <li >Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.</li> <li >Experience working with S3 compatible open-source solutions and managed solutions.</li> <li >Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.</li> </ul> <h3 >Additional Requirements</h3> <ul > <li >Strong communication skills in English are essential for this role.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Riyadh, offering an opportunity to work within an international and collaborative team environment. Salary details for this role are not disclosed.</p>

<h3 >About the Role</h3> <p >Mindrift is seeking a <strong >Competitive Programming Expert - Freelance AI Trainer</strong> to join its team. This freelance role involves contributing to projects focused on testing, evaluating, and improving AI systems for leading tech companies. The work is project-based, not permanent employment, and centers on building and refining competitive programming problems for advanced AI coding models.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop original algorithmic problems, ensuring clear statements, sound constraints, and an intended solution.</li> <li >Write correct solutions in C++ and Python.</li> <li >Create realistic wrong solutions that reflect common mistakes for testing purposes.</li> <li >Build and harden test cases, including generators, edge cases, stress tests, and "hacking" tests.</li> <li >Write checkers/interactors using testlib for problems that may have multiple valid answers.</li> <li >Confirm quality standards, ensuring correct solutions pass and incorrect ones fail within specified time limits.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >A strong background in competitive programming, demonstrated by a public profile such as a Codeforces rating or an IOI/ICPC/national-olympiad record.</li> <li >Fluency in contest C++ (STL, complexity) and comfort in writing Python.</li> <li >Ability to explain why a solution is incorrect and construct an input that exposes its flaws.</li> <li >Strong written English skills (C1+ level).</li> </ul> <h3 >Qualification Tiers (based on Codeforces rating or equivalent olympiad achievement)</h3> <ul > <li ><strong >Associate:</strong> 1700–2100 (Expert / Candidate Master) for easier problems.</li> <li ><strong >Expert:</strong> 2200–2600 (Master / Grandmaster) for harder problems.</li> <li ><strong >Senior / Reviewer:</strong> 2600+ (International Grandmaster) or IOI/ICPC medalist for the hardest problems and quality review.</li> </ul> <h3 >Preferred Skills and Experience</h3> <ul > <li >Experience in setting or testing problems for competitive programming contests (*, Codeforces rounds, ICPC, national olympiads, online judges).</li> <li >Familiarity with testlib for checkers, validators, and generators.</li> <li >Experience in creating data for LLM code benchmarks or similar RL/evaluation datasets.</li> </ul> <h3 >Compensation and Project Details</h3> <p >Compensation is paid per accepted task, with rates dependent on the qualification tier achieved and task completion efficiency, up to the equivalent of <strong >$90/hr</strong>. Project tasks are estimated to require approximately 10-20 hours per week during active phases, based on project requirements. This is an estimate and not a guaranteed workload. Tasks must be submitted by the deadline and meet acceptance criteria to be approved for payment.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.&nbsp;</span></p><br> <p><strong><span>What you'll build</span></strong></p><br> <br> <p><span>In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You translate ambiguous business and operational requirements into secure, scalable, and reliable solutions — owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope and apply modern AI-assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption.</span></p><br> <br> <p><span>In this role, you will:</span></p><br> <br> <ul> <li><span>Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.</span> </li> <li><span>Embed directly into customer projects and fast-moving cross-functional teams to rapidly understand business processes, technical landscapes, and operational challenges.</span> </li> <li><span>Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.</span> </li> <li><span>Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to real-world enterprise constraints.</span> </li> <li><span>Own application delivery end-to-end — from problem framing and prototyping through deployment, observability, and production operations.</span> </li> <li><span>Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.</span> </li> <li><span>Ensure delivery milestones, quality standards, and technical objectives are met, proactively managing risks and technical escalations within scope.</span> </li> <li><span>Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress.</span> </li> <li><span>Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.</span></li> </ul> <br> <p><strong><span>What you bring:</span></strong></p><br> <br> <br> <ul> <li><span>Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.</span> </li> <li><span>Proven ability to design and deliver AI-native applications, utilizing large language models, RAG architectures, vector databases, and agentic systems to innovate enterprise workflows.</span> </li> <li><span>Strong proficiency in widely used AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices.</span> </li> <li><span>Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations.</span> </li> <li><span>Strong problem-solving skills, critical thinking, and exposure to design thinking practices; proven ability to mentor teams and establish development guardrails and best practices.</span> </li> <li><span>Proven ability to mentor and inspire teams, establish best development guardrails and practices, and drive engineering culture across delivery teams.</span> </li> <li><span>Exposure to SAP AI technologies such as SAP AI Core, Vectorization, Joule Studio, RPT-1, and Business Data Cloud is a strong advantage.</span> </li> <li><span>Experience owning solutions across the full application lifecycle — from design and implementation to deployment and production operations.</span> </li> <li><span>Strong collaboration and communication skills to work effectively with cross-functional teams and customer stakeholders on complex technical topics.</span> </li> <li><span>Learning mindset, technical leadership, and accountability in high-impact, ambiguous environments; you proactively leverage AI in everyday workflows to ensure high-quality outputs.</span></li> </ul> <br> <p><strong><span>Where you belong:</span></strong></p><br> <br> <p><span>You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on turning complex business challenges into practical, scalable solutions. We value curiosity, ownership, and continuous learning — and encourage new ideas where real-world impact matters. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape.</span></p><br> <br> <br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 457077 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br>​</span></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>

<p>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. 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. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do 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. About the Role This is a freelance role for a Tendem project. 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. Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential. 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. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential. 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)</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping 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 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 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 requirements.<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 3+ 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 web technologies and data processing tools, 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 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving 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>

<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. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>What We Do</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>About the Role</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><p>Key Responsibilities</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>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.</p><p>Compensation</p><p>On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</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. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p>Technical Skills (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>Additional requirements</p><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>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Mindrift and the Tendem Project</h3> <p style="margin:0 0 12px; ************;">Mindrift connects specialists with innovative technology projects, aiming to develop high-quality AI technologies by combining global expertise with advanced AI development efforts. We are seeking experienced <strong style="font-weight:700;">Freelance Full-Stack Web App Developers</strong> to contribute to the <em style="font-style:italic;">Tendem</em> project. This part-time, remote opportunity focuses on building interactive browser-based applications for real-world use cases, leveraging expertise in modern frontend frameworks, backend APIs, databases, and end-to-end web product development. Compensation for this role can be up to $60 per hour equivalent.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <p style="margin:0 0 12px; ************;">As a Full-Stack Web App Developer on the Tendem project, you will design, build, and refine browser-based applications incorporating logic, state, persistence, and user input. This includes developing various tools such as habit trackers, budgeting tools, internal dashboards, mini-SaaS tools, and AI-powered applications. Responsibilities include:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Building interactive web applications using modern frontend frameworks (React, ****, Vue, or similar) and backend APIs (Python/FastAPI/Flask or Node/Express).</li> <li style="margin:0 0 6px;">Designing and implementing data models, schemas, and persistence layers with SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li style="margin:0 0 6px;">Implementing authentication, sessions, and basic role-based access as needed.</li> <li style="margin:0 0 6px;">Integrating third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li style="margin:0 0 6px;">Handling state management, user input validation, error states, and loading states cleanly.</li> <li style="margin:0 0 6px;">Developing standalone Python tools and scripts for tasks such as data processing, API clients, and lightweight backend utilities.</li> <li style="margin:0 0 6px;">Reviewing, debugging, optimizing, and refactoring full-stack applications to enhance correctness, security, performance, and maintainability.</li> <li style="margin:0 0 6px;">Writing clear, testable code and debugging end-to-end issues across frontend, backend, and database.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates should possess the following qualifications:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">At least <strong style="font-weight:700;">3 years of relevant experience</strong> in full-stack web development or shipping interactive web applications.</li> <li style="margin:0 0 6px;">A strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.</li> <li style="margin:0 0 6px;">Ability to confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.</li> <li style="margin:0 0 6px;">Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features.</li> <li style="margin:0 0 6px;">A portfolio of shipped web applications.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills</h3> <p style="margin:0 0 12px; ************;">The role requires proficiency in the following technical areas:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, ****, Vue, Svelte, or similar).</li> <li style="margin:0 0 6px;">Solid backend experience in Python (FastAPI, Flask, Django) and/or **** (Express, NestJS).</li> <li style="margin:0 0 6px;">Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li style="margin:0 0 6px;">Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li style="margin:0 0 6px;">Familiarity with deployment platforms (Vercel, Netlify, Render, ***, Railway, or similar).</li> <li style="margin:0 0 6px;">Comfortable with version control (Git) and basic testing practices.</li> <li style="margin:0 0 6px;">Experience integrating LLM APIs or other AI services into product features is considered a strong advantage.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Educational Background and Project Scope</h3> <p style="margin:0 0 12px; ************;">While not mandatory, a Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus. Regarding project scope, tasks are estimated to require around <strong style="font-weight:700;">10–20 hours per week</strong> during active phases; this is an estimate and not a guaranteed workload. Compensation can reach <strong style="font-weight:700;">up to $60 per hour equivalent</strong>, varying based on contribution level and project specifics.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Working with Mindrift</h3> <p style="margin:0 0 12px; ************;">Mindrift offers a fully remote work environment, allowing contributors to work on their own schedule with a laptop and stable internet connection. This role provides an opportunity to apply expertise to real-world technology projects and gain experience in building high-quality solutions for a global platform. Participants may also be eligible for performance-based bonus programs that reward high-quality work and consistent delivery.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping 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 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 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 requirements.<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 3+ 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 web technologies and data processing tools, 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 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: MLOps &amp; AI Platform Engineer Job Title: MLOps &amp; AI Platform Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are seeking a skilled MLOps &amp; AI Platform Engineer with 3 11 years of experience to build, automate, and manage scalable machine learning platforms and production AI environments. The ideal candidate will have hands-on expertise in MLOps, Kubernetes, cloud-native AI infrastructure, CI/CD automation, and model lifecycle management. You will be responsible for enabling data scientists and AI engineers to efficiently develop, deploy, monitor, and maintain machine learning models at scale.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain enterprise-grade MLOps platforms and AI infrastructure.</li><li>Develop and automate end-to-end machine learning pipelines for training, validation, deployment, and monitoring.</li><li>Implement model versioning, experiment tracking, and model registry solutions.</li><li>Build scalable CI/CD pipelines for AI/ML workloads.</li><li>Deploy and manage machine learning workloads on Kubernetes-based environments.</li><li>Collaborate with Data Scientists, AI Engineers, Data Engineers, and DevOps teams to operationalize ML solutions.</li><li>Implement Infrastructure as Code (IaC) for cloud-native AI platforms.</li><li>Monitor platform health, model performance, and infrastructure availability.</li><li>Ensure platform security, scalability, reliability, and operational excellence.</li><li>Troubleshoot production issues and continuously optimize platform performance.</li></ul><p>Required Technical Skills</p><p>MLOps Platforms</p><ul><li>Hands-on experience with Kubeflow or Vertex AI Pipelines or SageMaker Pipelines .</li><li>Strong experience with MLflow for experiment tracking, model registry, and lifecycle management.</li><li>Experience orchestrating machine learning workflows using Apache Airflow .</li></ul><p>Containerization &amp; Orchestration</p><ul><li>Strong expertise in Kubernetes (GKE or AKS or EKS) .</li><li>Experience deploying and managing containerized AI/ML workloads in cloud environments.</li></ul><p>Infrastructure Automation</p><ul><li>Hands-on experience with Terraform for Infrastructure as Code (IaC).</li><li>Experience automating infrastructure provisioning and cloud resource management.</li></ul><p>CI/CD &amp; DevOps</p><ul><li>Experience with GitHub Actions for CI/CD automation.</li><li>Knowledge of DevOps best practices, Git workflows, and automated deployments.</li></ul><p>Monitoring &amp; Observability</p><ul><li>Experience using Prometheus for infrastructure and application monitoring.</li><li>Knowledge of logging, alerting, and performance monitoring for AI platforms.</li></ul><p>Qualifications</p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.</li><li>3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure.</li><li>Strong scripting and automation skills using Python, Bash, or similar languages.</li><li>Excellent analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li></ul><p>Preferred Skills</p><ul><li>Experience with Docker and containerized application deployment.</li><li>Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.</li><li>Familiarity with model monitoring, drift detection, and automated retraining pipelines.</li><li>Experience implementing security best practices for AI/ML platforms.</li><li>Cloud and Kubernetes certifications are a plus.</li></ul><p>Key Technology Stack</p><ul><li>MLOps Platforms: Kubeflow or Vertex AI Pipelines or SageMaker Pipelines</li><li>Workflow Orchestration: Apache Airflow and MLflow</li><li>Container Orchestration: Kubernetes (GKE or AKS or EKS)</li><li>Infrastructure as Code: Terraform</li><li>CI/CD: GitHub Actions</li><li>Monitoring: Prometheus</li><li>Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred)</li><li>Automation: Python and Bash (Preferred)</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.</li><li>3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure.</li><li>Strong scripting and automation skills using Python, Bash, or similar languages.</li><li>Excellent analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li></ul><p>Preferred Skills</p><ul><li>Experience with Docker and containerized application deployment.</li><li>Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.</li><li>Familiarity with model monitoring, drift detection, and automated retraining pipelines.</li><li>Experience implementing security best practices for AI/ML platforms.</li><li>Cloud and Kubernetes certifications are a plus.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Project time expectations 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. Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are 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) 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)</p><p></p></section>

<p><strong>Company Description</strong></p><p><strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Junior Data Scientist</strong> to join their remote team and work on <strong>Cryptocurrency, Blockchain, Digital Assets, FinTech, AI, and Machine Learning</strong> projects.</p><p>The role involves analyzing crypto and financial datasets, building predictive models, identifying trends, and developing data-driven solutions for the digital asset ecosystem.</p><p><br></p><p><strong>Accountabilities</strong></p><ul><li>Analyze cryptocurrency, blockchain, financial, and transactional datasets.</li><li>Perform data analysis, statistical analysis, and predictive analytics.</li><li>Build and evaluate Machine Learning models using Python and SQL.</li><li>Identify trends, patterns, anomalies, and market insights.</li><li>Support crypto market analytics, risk analysis, and fraud detection.</li><li>Develop dashboards and visualizations using Power BI, Tableau, or similar tools.</li><li>Clean, transform, and validate large datasets.</li><li>Work with APIs, databases, and real-time data.</li><li>Collaborate with Data Scientists, Engineers, and Product teams.</li><li>Document analytical findings and model results.</li></ul><p><br></p><p><strong>Requirements</strong></p><ul><li>Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Finance, or a related field.</li><li>Strong Python and SQL skills.</li><li>Knowledge of Machine Learning, statistics, predictive modeling, and data visualization.</li><li>Familiarity with Pandas, NumPy, Scikit-learn, Power BI, Tableau, or similar tools.</li><li>Strong analytical and problem-solving skills.</li><li>Good English communication skills.</li><li>Interest in <strong>Cryptocurrency, Blockchain, Web3, Digital Assets, AI, and FinTech</strong>.</li></ul><p><br></p><p><strong>Preferred Qualifications</strong></p><ul><li>Knowledge of blockchain or cryptocurrency markets.</li><li>Experience with financial or crypto datasets.</li><li>Familiarity with APIs, cloud platforms, or time-series analysis.</li><li>GitHub, Kaggle, bootcamp, or personal Data Science projects.</li><li>Exposure to Generative AI or LLMs.</li></ul><p><br></p><p><strong>Benefits</strong></p><ul><li>Fully remote position.</li><li>Flexible working environment.</li><li>Hands-on experience with <strong>Crypto, Blockchain, AI, and FinTech</strong>.</li><li>International and collaborative team.</li><li>Professional development and career growth.</li><li>Competitive compensation based on experience.</li></ul><p><br></p><p><strong>Equal Opportunity Statement</strong></p><ul><li><strong>Our partner welcomes candidates from diverse backgrounds. Employment decisions are based on skills, experience, and qualifications.</strong></li></ul>

<p>About the role : Integration Engineer IBM DataPower &amp; CP4I : 8+ years : Riyadh Saudi Arabia : 6 Months (Extendable) : Currently staying in Saudi with valid Iqama</p><p><strong>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</strong></p><p><strong>Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams.</strong></p><p><strong>Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging.</strong></p><p><strong>Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics.</strong></p><p><strong>Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing).</strong></p><p><strong>Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</strong></p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p><p>Key responsibilities Experience in full API lifecycle management</p><p>What we're looking for Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</p><p><strong>Desired Candidate Profile</strong></p><p>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT. Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams. Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging. Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics. Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing). Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p>