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MLOps Engineer (Freelance)<br>Location: Abu Dhabi, Dubai, UAE (Hybrid) Contract Duration: Initial 6-Month Contract with possibility of extension Employment Type: Freelance / Independent Contractor<br>About the Role We are seeking an experienced MLOps Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work.<br>The successful candidate will play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance.<br>Key Responsibilities Design, implement, and maintain scalable MLOps frameworks and automated machine learning workflows. Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring. Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and Dev Ops teams to operationalize AI solutions. Deploy, monitor, and manage machine learning models in production environments. Develop and maintain model versioning, governance, and monitoring processes. Automate model retraining, validation, and deployment workflows. Ensure reliability, scalability, security, and performance of machine learning infrastructure. Implement logging, monitoring, and alerting mechanisms for model and platform performance. Optimize cloud infrastructure and resource utilization for AI/ML workloads. Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines. Promote MLOps best practices and contribute to continuous improvement initiatives.<br>Required Skills & Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.4+ years of experience in MLOps, Dev Ops, Machine Learning Engineering, or a similar role. Strong experience with Python and machine learning lifecycle management. Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, or Azure ML. Strong knowledge of CI/CD tools such as Git Hub Actions, Git Lab CI/CD, Jenkins, or Azure Dev Ops. Experience with containerization and orchestration technologies including Docker and Kubernetes. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Understanding of infrastructure as code tools such as Terraform or Cloud Formation. Experience with monitoring and observability tools. Strong knowledge of software engineering best practices, automation, and system reliability. Excellent analytical, troubleshooting, and communication skills.<br>Preferred Qualifications Experience supporting Generative AI and Large Language Model (LLM) deployments. Familiarity with Databricks, Spark, and large-scale data processing platforms. Knowledge of Responsible AI, model governance, and compliance frameworks. Experience working in enterprise-scale production environments. Previous experience delivering projects within the UAE or GCC region.<br>Apply Now If you are passionate about building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, we would love to hear from you. Please note: This opportunity is open to freelancers/independent contractors only and requires availability for a hybrid working arrangement in UAE.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Machine Learning Engineer – Classical &amp; Adaptive ML </b><br></p><br><p><b>Discover the Opportunity</b></p><br><p>We are hiring a hands-on Machine Learning Engineer to own the classical ML powering Forge’s detection and triage layer. Forge protects critical Operational Technology (OT) and industrial control environments.</p><br><p>In this individual contributor role, you will build and tune models that score and prioritize security alerts, classify OT assets, and separate real threats from noise—all running directly on local, air-gapped appliances.</p><br><p>Because every deployment operates in a unique, isolated OT environment without access to cloud MLOps services, our models can't be static artifacts shipped once. You will build <b>adaptive machine learning systems </b>that learn on the edge, evolving over time based on local traffic patterns and analyst feedback.</p><br><p><b>Discover the Role</b></p><br><ul><li><p><b>Alert Triage &amp; Scoring: </b>Build and tune XGBoost and gradient boosting models to rank security alerts, drastically cutting false positives and surfacing genuine incidents for analysts.</p><br></li><li><p><b>Adaptive &amp; Online Learning: </b>Design models that adapt to individual site environments over time using incremental learning, concept drift detection, and human-in-the-loop feedback.</p><br></li><li><p><b>Asset &amp; Device Classification: </b>Expand our Equipment Type Inference capabilities using tree ensembles and clustering to profile industrial devices from raw network fingerprint data.</p><br></li><li><p><b>Custom Anomaly Detection: </b>Implement Isolation Forests, one-class methods, and autoencoders alongside our OpenSearch layer to catch threats that static rules miss.</p><br></li><li><p><b>Risk Scoring: </b>Refine features and models to ensure Forge’s risk scoring accurately reflects real operational exposure.</p><br></li><li><p><b>Production Pipelines: </b>Build reproducible, version-controlled feature engineering, training, and evaluation pipelines that move beyond standard notebooks.</p><br></li><li><p><b>Self-Hosted MLOps: </b>Stand up and run a self-hosted MLflow setup for experiment tracking, model registry, and promotion of vetted models to production.</p><br></li><li><p><b>On-Device Model Lifecycle: </b>Package models to run seamlessly within the appliance Docker stack, complete with evaluation gates, drift monitoring, and controlled on-device retraining.</p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p><b>4+ years </b>of hands-on experience building and shipping machine learning systems in production.</p><br></li><li><p><b>Gradient Boosting Expertise: </b>Strong Python fluency with deep experience in XGBoost, LightGBM, or CatBoost.</p><br></li><li><p><b>Classical ML &amp; Anomaly Toolkit: </b>Solid grounding in scikit-learn, tree ensembles, clustering, anomaly detection (Isolation Forests, autoencoders), and selective deep learning.</p><br></li><li><p><b>Adaptive ML Experience: </b>Practical experience with online/incremental learning, concept drift, and active learning/feedback loops.</p><br></li><li><p><b>ML Pipelines &amp; MLOps: </b>Proficiency with pipeline orchestrators (Airflow, Prefect, Dagster, or Kubeflow), data/model versioning (DVC), and model tracking (MLflow).</p><br></li><li><p><b>Imbalanced Data Expertise: </b>Deep familiarity with rare-event metrics (Precision, Recall, PR curves, calibration) rather than raw accuracy.</p><br></li><li><p><b>Telemetry Data: </b>Comfort working with large volumes of structured logs and network telemetry.</p><br></li></ul><p>​</p><br><p><b>Discover the Desired</b></p><br><ul><li><p>Exposure to OT, ICS, or SCADA security, industrial protocols, or the Purdue model.</p><br></li><li><p>Experience with OpenSearch or Elasticsearch machine learning capabilities.</p><br></li><li><p>Background deploying models in constrained or offline environments (ONNX export, quantization, air-gapped delivery).</p><br></li><li><p>Experience operating 100% self-hosted MLOps infrastructure without managed cloud services.</p><br></li><li><p>Experience with security telemetry, SIEM, or SOC datasets.</p><br></li><li><p>Familiarity with PyTorch for deep learning crossover work.</p><br></li></ul><br> </div>

Position: Investment Director Location: Remote (Global) Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits<br>About RGG Capital:RGG Capital is a Dubai-headquartered single family office deploying proprietary capital into hedge funds, liquid alternatives, and systematic strategies. We run a focused, research-driven process where analytical depth and independent judgment define how capital is deployed. Small team, direct access to decision-makers, zero bureaucracy.<br>The Role:We are looking for an Investment Director to lead investment research and coordinate the end-to-end investment process. You will work closely with senior leadership to enhance research capabilities, optimize portfolio operations, and drive analytical excellence across the investment division. This is a research-intensive, high-autonomy position for a professional who combines deep market knowledge with operational rigor.<br>Responsibilities:Lead Investment Due Diligence Source, screen, and evaluate investment opportunities across strategies and geographies. Conduct in-depth analysis of performance, investment process, risk metrics, and team capabilities. Maintain regular contact with managers to assess strategy evolution, performance attribution, and organizational stability. Coordinate the Due Diligence Process Collaborate with internal team members to coordinate the full due diligence lifecycle. Maintain trackers and ensure timely completion of regular updates. Synthesize outputs into comprehensive investment memoranda for senior leadership. Conduct Macro Research and Market Analysis Monitor and interpret macroeconomic data, central bank policy, and geopolitical developments to assess implications for markets and asset classes. Identify key trends and develop scenario analyses to inform investment decisions and portfolio positioning. Distill actionable insights and periodic briefs for senior leadership.<br>Required Qualifications:8 to 12 years of professional experience in investment management, whether in investment research, portfolio management, or institutional allocation. Deep understanding of financial markets and complex financial instruments. Advanced degree (Master's or PhD) in Finance, Mathematics, Physics, or a related quantitative field. Programming skills in Python for investment analysis and portfolio management. Exceptional research and written communication skills. Proven ability to coordinate and manage projects in multi-stakeholder investment environments. Proficiency in Bloomberg and industry-standard investment tools.<br>Preferred Qualifications:CFA, CAIA, or equivalent professional certifications. Additional programming skills (R, SQL, etc.). Experience with emerging markets. Proven portfolio management track record.<br>What Is In It For You:Join a High-Performance Organization and Partner with the 1%: ???? Work directly with Forbes Council Member CEO. Your vision is the company's vision. Gain firsthand exposure to strategic decisions and high-velocity execution Embrace Radical Flexibility: Work from anywhere in the world with meaningful time zone overlap. Structure your environment around your best thinking, whether that's a home office or a co-working space. It's your choice!<br>In addition, if you would like to relocate to our Dubai headquarters and work alongside the team in person, we welcome you to do so! We will cover relocation and visa sponsorship in full, and salaries in the UAE carry 0% income tax.<br>The RGG DNA:We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that rigorous independent judgment beats consensus, regardless of who holds it.<br>Be the Owner: We don't hire employees; we welcome owners. You're accountable for results, not activity. Execute with Urgency: We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively. Demand Excellence: We solve the hard problems that others can't, pushing the boundaries of our craft. Be AI-First: Daily multi-turn AI conversations challenge your assumptions. Go All-In: When the mission demands it, we rally as one team to cross the finish line.<br>✨ Your Total Compensation & Benefits:???? Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits Annual salary review every January???? Health & Protection: Comprehensive medical, dental, and vision insurance (based on country of hire)???? Time Off: Generous Paid Time Off (PTO) + Public holidays???? Work Environment:AI-First organization with access to AI-native tool stack Remote First: Work from the comfort of your home office Learning & development opportunities<br>???? Rewards & Recognition:Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company-wide celebration for exceptional contributions<br>How to Apply Click "Apply" to submit your application.

Position: Investment Director Location: Remote (Global) Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits<br>About RGG Capital:RGG Capital is a Dubai-headquartered single family office deploying proprietary capital into hedge funds, liquid alternatives, and systematic strategies. We run a focused, research-driven process where analytical depth and independent judgment define how capital is deployed. Small team, direct access to decision-makers, zero bureaucracy.<br>The Role:We are looking for an Investment Director to lead investment research and coordinate the end-to-end investment process. You will work closely with senior leadership to enhance research capabilities, optimize portfolio operations, and drive analytical excellence across the investment division. This is a research-intensive, high-autonomy position for a professional who combines deep market knowledge with operational rigor.<br>Responsibilities:Lead Investment Due Diligence Source, screen, and evaluate investment opportunities across strategies and geographies. Conduct in-depth analysis of performance, investment process, risk metrics, and team capabilities. Maintain regular contact with managers to assess strategy evolution, performance attribution, and organizational stability. Coordinate the Due Diligence Process Collaborate with internal team members to coordinate the full due diligence lifecycle. Maintain trackers and ensure timely completion of regular updates. Synthesize outputs into comprehensive investment memoranda for senior leadership. Conduct Macro Research and Market Analysis Monitor and interpret macroeconomic data, central bank policy, and geopolitical developments to assess implications for markets and asset classes. Identify key trends and develop scenario analyses to inform investment decisions and portfolio positioning. Distill actionable insights and periodic briefs for senior leadership.<br>Required Qualifications:8 to 12 years of professional experience in investment management, whether in investment research, portfolio management, or institutional allocation. Deep understanding of financial markets and complex financial instruments. Advanced degree (Master's or PhD) in Finance, Mathematics, Physics, or a related quantitative field. Programming skills in Python for investment analysis and portfolio management. Exceptional research and written communication skills. Proven ability to coordinate and manage projects in multi-stakeholder investment environments. Proficiency in Bloomberg and industry-standard investment tools.<br>Preferred Qualifications:CFA, CAIA, or equivalent professional certifications. Additional programming skills (R, SQL, etc.). Experience with emerging markets. Proven portfolio management track record.<br>What Is In It For You:Join a High-Performance Organization and Partner with the 1%: ???? Work directly with Forbes Council Member CEO. Your vision is the company's vision. Gain firsthand exposure to strategic decisions and high-velocity execution Embrace Radical Flexibility: Work from anywhere in the world with meaningful time zone overlap. Structure your environment around your best thinking, whether that's a home office or a co-working space. It's your choice!<br>In addition, if you would like to relocate to our Dubai headquarters and work alongside the team in person, we welcome you to do so! We will cover relocation and visa sponsorship in full, and salaries in the UAE carry 0% income tax.<br>The RGG DNA:We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that rigorous independent judgment beats consensus, regardless of who holds it.<br>Be the Owner: We don't hire employees; we welcome owners. You're accountable for results, not activity. Execute with Urgency: We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively. Demand Excellence: We solve the hard problems that others can't, pushing the boundaries of our craft. Be AI-First: Daily multi-turn AI conversations challenge your assumptions. Go All-In: When the mission demands it, we rally as one team to cross the finish line.<br>✨ Your Total Compensation & Benefits:???? Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits Annual salary review every January???? Health & Protection: Comprehensive medical, dental, and vision insurance (based on country of hire)???? Time Off: Generous Paid Time Off (PTO) + Public holidays???? Work Environment:AI-First organization with access to AI-native tool stack Remote First: Work from the comfort of your home office Learning & development opportunities<br>???? Rewards & Recognition:Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company-wide celebration for exceptional contributions<br>How to Apply Click "Apply" to submit your application.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced Senior Python Data Engineer with strong expertise in Python development, microservices architecture, data engineering, and backend API development.<br> The ideal candidate will have hands-on experience building scalable Python-based applications and data services, designing robust REST APIs, performing complex data transformations, and developing high-performance backend frameworks to support enterprise data-driven applications.<br> This role requires strong proficiency in Python web frameworks, asynchronous programming, microservices architecture, ETL processes, database management, and modern software engineering best practices.<br> Exposure to big data technologies, DevOps practices, and cloud-native architectures will be highly advantageous.<br> Key Responsibilities Design, develop, and maintain scalable Python-based web frameworks and backend services.<br> Develop robust RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.<br> Build and maintain microservices-based applications supporting enterprise data platforms.<br> Design and implement data transformation pipelines for data ingestion, processing, and enrichment.<br> Develop backend systems to efficiently serve datasets through APIs and other interfaces.<br> Collaborate with cross-functional teams to deliver scalable and secure data-driven applications.<br> Design and maintain relational and NoSQL database schemas.<br> Develop efficient ETL (Extract, Transform, Load) processes for enterprise data requirements.<br> Optimize application and database performance to ensure scalability and reliability.<br> Implement asynchronous programming techniques using asyncio and optimize concurrent connections and I/O operations.<br> Ensure data integrity, consistency, and quality across data transformation pipelines.<br> Participate in code reviews and contribute to software engineering best practices.<br> Troubleshoot, debug, and resolve production issues across applications and data pipelines.<br> Collaborate closely with stakeholders and engineering teams throughout the SDLC.<br> Required Technical SkillsCore Python Development Strong hands-on expertise in Core Python.<br> Experience building enterprise-grade Python applications.<br> Strong understanding of: Python programming concepts Object-oriented programming Asynchronous programming (asyncio) Concurrent connections handling I/O optimization techniques Clean code and software design principles Python Web Frameworks Hands-on experience with one or more of the following: FastAPI Flask Django Pyramid Strong understanding of: RESTful API development Routing Authentication mechanisms Testing frameworks Database integrations Framework architecture and scalability Microservices Architecture Strong experience with: Microservices-based application design Service-oriented architectures API integrations Distributed systems Enterprise backend services Knowledge of: API Gateways Service communication patterns Scalable backend architectures Security &amp; API Management Experience implementing: OAuth JWT Authentication API Security Best Practices Authorization mechanisms Encryption standards Secure API development practices Data Engineering &amp; Data Transformations Strong hands-on experience with: Data transformation pipelines ETL processes Data cleansing and enrichment Data aggregation techniques Data quality and integrity management Experience in: Dataset preparation Data processing workflows Enterprise data platforms Database Management Experience working with: Relational Databases PostgreSQL MySQL SQL Server (preferred) NoSQL Databases MongoDB Redis (good to have) Strong knowledge of: Database schema design Performance optimization Transactions management Efficient data retrieval techniques ORM Frameworks Hands-on experience with: SQLAlchemy Django ORM Ability to perform: CRUD operations Query optimization Transaction handling Data modelling DevOps &amp; CI/CD Experience with: CI/CD pipeline development and maintenance Git-based workflows Version control best practices Branching strategies Code reviews Production deployments Big Data Technologies (Preferred) Exposure to: Apache Spark Hadoop Apache Kafka Understanding of: Data warehousing concepts Large-scale data processing architectures Scripting Skills Strong proficiency in: SQL Shell Scripting Python scripting Cloud &amp; Containerization (Good to Have) Exposure to: AWS Microsoft Azure Google Cloud Platform (GCP) Docker Kubernetes Data Governance (Good to Have) Knowledge of: Data governance principles Data security best practices Compliance frameworks Enterprise data management practices Preferred Additional Skills Experience with R Programming Language.<br> Experience working on enterprise-scale data engineering initiatives.<br> Exposure to cloud-native architectures and containerized deployments.<br> Required Competencies Strong analytical and problem-solving skills.<br> Excellent communication and stakeholder management capabilities.<br> Strong debugging and troubleshooting skills.<br> Ability to work effectively in Agile and collaborative environments.<br> Strong ownership mindset and attention to detail.<br> Ability to adapt quickly to evolving business and technical requirements.<br> Strong documentation and technical communication skills.<br></span> </div>

???? Full Stack Engineer - React • Python • AI???? Abu Dhabi ⏳ 12-month initial contract - with extensions<br>I'm looking for an experienced Full-Stack Developer to join a technology team building modern, production-grade applications with React, Python and Generative AI at their core.<br>This is a genuinely hands-on engineering role for someone who enjoys working across the stack – building polished frontend experiences, designing robust backend services and APIs, and developing applications that integrate LLMs, tools and AI agents.<br>You won’t simply be maintaining existing applications. You’ll be helping shape and build new digital products where traditional software engineering meets the rapidly evolving world of LLM-powered applications and agentic AI.<br>What You’ll Be Doing Design and develop production-grade full-stack applications using React.js and Python Build modern, responsive frontend applications with React Develop scalable backend services using Python and Fast APIDesign and build robust REST APIs, including authentication and API versioning Build applications incorporating Large Language Models (LLMs) Develop and implement prompting, tool-use and agent-based application patterns Integrate AI capabilities into real-world products and workflows Work across the full software development lifecycle, from design and architecture through to production Collaborate with product, engineering and other technical stakeholders to turn requirements into scalable solutions Maintain strong engineering standards around performance, reliability and maintainability<br>What We’re Looking For6+ years of full-stack development experience Strong, production-level React.js experience Strong backend development experience with Python Hands-on experience with Fast APIStrong API development experience, particularly REST API design Good understanding of authentication and API versioning Practical experience building applications using LLMsUnderstanding of modern LLM application patterns including prompts, tools and agents Comfortable owning features across both frontend and backend development Strong software engineering fundamentals and a product-focused mindset<br>Core Technology Frontend: React.js Backend: Python, Fast APIAPIs: REST, Authentication, API Versioning AI / LLM: Large Language Models, Prompt Engineering, Tool Use, AI Agents<br>Why This Role? This is a great opportunity for an experienced full-stack engineer who wants to move beyond traditional web development and work on products where AI is an integral part of the application architecture.