Python Developer Jobs in UAE

About the Role<br>You will be designing, developing and deploying scalable generative AI solutions while managing and maintaining LLM deployments for internal AI tools, ensuring high availability and efficiency for internal teams, and training and deploying deep learning and LLMs models to production.<br><br>Responsibilities<br><br>Design and implement robust RAG pipelines to integrate Large Language Models (LLMs) with proprietary data sources, ensuring high accuracy and low latency in responses. Architect and maintain complex Apache Airflow DAGs to automate data ingestion, cleaning, embedding generation, and model retraining workflows. Manage and optimize Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient storage and retrieval of high-dimensional embeddings. Maintain and monitor internal LLM deployments (hosting, scaling, and versioning), ensuring 99% uptime, managing GPU resources and optimizing inference for internal AI usage. Train, fine-tune, and deploy deep learning and LLM models to production environments, managing the full MLOps lifecycle from experimentation to serving.<br><br>Qualifications<br><br>At least Bachelor's Degree in Computer Science, Software Engineering, Data Science, AI or related field8+ years in Software Engineering overall Solid experience in building LLM applications and RAG pipelines, in production Production experience with Python and DBs. Optimizing GPU compute resources (v LLM, Tensor RT). Open-source contributions to AI/MLOps libraries. Advanced model fine-tuning (LoRA, PEFT). Good foundation in linear algebra and statistics.<br><br>Required Skills<br>Programming: Python (Must), Java (nice to have: GO, Scala) AI/ML: PyTorch, Tensor Flow, Hugging Face. Gen AI and LLMs: RAG, Lang Chain, Llama Index, RAG pipeline design. Nice to have: PEFT/LoRA fine-tuning. Data Processing: Apache Airflow, DAGs. Nice to have: PySpark or Ray. Databases: Vector DBs (Pinecone/Milvus), SQL/NoSQL, embedding models and semantic search MLOps: Docker, Kubernetes, v LLM, Cloud (AWS/Azure/GCP), CI/CD pipelines. Nice to have: GPU resource management and optimization (CUDA).

Role: AI Engineer - Generative AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior LLM Engineer to work on a full-time basis. This hands-on engineering role focuses on designing, building, and deploying generative AI and LLM-based solutions. The position requires deep technical proficiency in Python and modern LLM frameworks, with contributions to roadmap development and cross-functional collaboration.<br>Key Responsibilities:• Design and develop generative AI and LLM-based systems using tools such as Lang Chain and retrieval-augmented generation (RAG) pipelines• Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions• Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives• Translate business needs into scalable, production-ready AI solutions• Contribute to architecture discussions, code reviews, and performance optimization<br>Required Skills & Qualifications:• Proficient in Python and SQL for AI system development• Experience with Lang Chain and modern LLM frameworks• Deep understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows• Background in machine learning or software engineering with system-level thinking• Experience working with cloud platforms such as AWS, Azure, or GCP• Ability to work independently while collaborating effectively across teams• Excellent communication and stakeholder management skills<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of advanced AI solutions. The position involves close collaboration with business SMEs and data teams to ensure alignment of AI models with real-world use cases.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

AI Engineer – Europe<br>Location: Europe – specific location to be confirmed based on the hiring entity Job Type: Full-time Work Model: On-site / Hybrid / Remote, depending on employer and location Experience: 2–6 years Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field<br>About the Role<br>We are hiring an AI Engineer to design, develop, test, and deploy AI and machine-learning solutions for real-world business applications. The successful candidate will work with engineering and product teams to build reliable AI systems, improve model performance, and contribute to the development of scalable machine-learning applications.<br>Key Responsibilities<br>Develop and deploy machine-learning and AI models. Build and maintain AI/ML pipelines for production applications. Work with structured and unstructured datasets. Develop and integrate AI solutions using Python and relevant ML frameworks. Evaluate model performance and improve accuracy, scalability, and reliability. Collaborate with software engineers, data scientists, and product teams. Implement model monitoring, testing, and documentation. Stay informed about relevant developments in machine learning and generative AI. Follow appropriate data privacy, security, and responsible-AI practices.<br>Requirements<br>Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field.2–6 years of relevant professional experience in AI/ML or software engineering. Strong Python programming skills. Practical experience with machine-learning frameworks such as Tensor Flow or PyTorch. Understanding of machine-learning algorithms, model evaluation, and data processing. Experience with SQL and/or cloud-based technologies is an advantage. Familiarity with APIs, Git, Docker, or CI/CD is a plus. Professional working proficiency in English. Candidates must have the legal right to work in the applicable European country, or the employer must provide an appropriate work authorization/relocation pathway where available.<br>Salary<br>Indicative salary: €45,000–€85,000 gross per year, depending on location, experience, skills, and employer. The final compensation package will be confirmed by the hiring employer and may vary by European country.<br>Benefits<br>Depending on the employer and country, benefits may include:Competitive salary package Paid annual leave Professional development and training Hybrid or flexible working options where available Health and insurance benefits according to local employment regulations Relocation support where offered Opportunities to work on AI and emerging technologies<br>Eligibility<br>Applicants should have relevant AI/ML or software-engineering experience and meet the education and technical requirements above. Work authorization requirements will depend on the specific European country and employer. Important: This is a genuine employment opportunity only where a confirmed hiring employer and vacancy are available. Employment terms, salary, location, and work authorization support must be verified before applying.<br>How to Apply<br>Submit your updated CV/resume through the official application process for the specific vacancy. Please do not send sensitive personal information such as passport numbers, government ID numbers, or banking details during the initial application.<br>Equal Opportunity Statement:We consider qualified applicants based on their skills, experience, qualifications, and ability to perform the role. Employment decisions are made without discrimination on the basis of protected characteristics under applicable law.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>INTRODUCTION ATOM is a leading end-to-end, integrated insurance operating system built on the latest technology stack.<br> ATOM enables MGAs, Brokers and Insurers to automate the entire life cycle of the insurance process incorporating not only insurance underwriting and claims handling but also all associated support and corporate activities.<br> Based in one of the most innovative areas of Dubai, the DIFC Innovation Hub, a dynamic group of more than 40 passionate and dedicated insurance and software professionals are on a mission to take the specialty insurance industry to the next level.<br> We are looking for an experienced Data Engineer to join our growing team!<br> ROLE SUMMARY As a Data Engineer you will contribute across the end-to-end data development lifecycle for data ingestion, cleansing, validation, transformation, curation and presentation.<br> Reporting to the Principal Data &amp; AI, you will work within a talented team of data engineers to deliver high-impact, secure data and AI solutions that support the ambitious goals of ATOM’s customers and stakeholders.<br> RESPONSIBILITIES • Hands-on Engineering &amp; Delivery ◦ Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts.<br> ◦ Implement robust web scraping solutions.<br> ◦ Optimise performance and cost of data workloads (partitioning, compression, query tuning, etc).<br> • Data Modelling &amp; Platform Contribution ◦ Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.<br> ◦ Contribute to the evolution of the cloud data architecture under the guidance of the Principal Data &amp; AI.<br> • Analytics, BI, ML &amp; AI Enablement ◦ Work with data scientists, ML engineers, and analytics teams to support the productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores.<br> ◦ Expose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools.<br> • Quality, Governance &amp; Security ◦ Follow data governance, data quality, and metadata management practices across the platform.<br> ◦ Apply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring).<br> • Collaboration &amp; Ways of Working ◦ Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions.<br> ◦ Contribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards.<br> • Hands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms.<br> • Strong programming skills in Python, SQL and other relevant languages.<br> • Proven experience in developing ETL/ELT pipelines using various technologies, including but not limited to dbt, Informatica, Talend, AWS Glue, Python, SQL, etc.<br> • Working knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus.<br> • Experience with analytical frontend tools (e.<br>g. Power BI, Tableau, Spotfire, MicroStrategy, SAP Analytics Cloud).<br> • Exposure to Large Language Models, generative AI, and intelligent agents, including hands-on experience building Agentic AI workflows and automations using tools such as n8n, LangChain / LangGraph, Make (Integromat), Zapier AI, CrewAI, or similar orchestration frameworks.<br> • Experience delivering CI/CD and DevOps capabilities in a data environment.<br> • A bachelor’s or master’s degree in computer science, Statistics, Mathematics or related.<br> • A collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams.<br> • At minimum 5 years of experience in a similar role.<br></span> </div>

Company Description This opportunity is advertised on behalf of a partner company. All applications, interviews, and subsequent hiring steps will be managed directly by the partner organization. Our partner is seeking a Junior Data Analyst / Data Scientist to join their remote team and contribute to data-driven projects across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). This role is well suited to an early-career data professional who is curious about how data can be used to solve business problems, uncover trends, and support better decision-making. The successful candidate will have the opportunity to work on a variety of analytics and data science projects, ranging from business reporting and data visualization to predictive modeling and machine learning.<br>Key Responsibilities Collect, clean, transform, and analyze data from different internal and external sources Use Python, SQL, and statistical techniques to investigate business and operational questions Conduct Exploratory Data Analysis (EDA) to uncover trends, relationships, anomalies, and opportunities Build and maintain reports, dashboards, KPIs, and Business Intelligence (BI) solutions Perform descriptive and statistical analyses to support business and strategic decisions Assist in developing and evaluating Machine Learning (ML) and predictive models Contribute to customer, product, commercial, marketing, and operational analytics projects Analyze areas such as customer behavior, transactions, sales performance, product usage, and operational efficiency Support forecasting, customer segmentation, classification, and other predictive analytics initiatives Assist with A/B testing, experimentation, and hypothesis-driven analysis Develop clear and meaningful data visualizations to communicate analytical findings Present insights and recommendations to both technical and non-technical stakeholders Contribute to AI, automation, and other data-driven initiatives Help identify opportunities to improve data quality, reporting processes, and analytical workflows Work collaboratively with teams across Product, Engineering, Finance, Marketing, Operations, and Business Translate business requirements and questions into structured analytical approaches<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or another quantitative discipline Solid foundational knowledge of Python and SQLGood understanding of statistics, probability, and fundamental data analysis concepts Hands-on experience working with datasets and conducting Exploratory Data Analysis (EDA) Familiarity with Python data and Machine Learning libraries such as pandas, Num Py, and scikit-learn Experience with or understanding of dashboarding and reporting tools such as Power BI, Tableau, Looker, or similar platforms Strong analytical thinking and problem-solving abilities Ability to interpret data and communicate insights in a clear and structured manner Strong written and spoken English Comfortable working both independently and as part of a distributed, remote team<br>Preferred Qualifications Internship, academic, bootcamp, freelance, or personal project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning Exposure to data-driven industries such as Financial Services, Fin Tech, Retail, E-commerce, Logistics, or Technology Familiarity with Git and Git Hub Experience working with Jupyter Notebook Basic exposure to cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Familiarity with modern data warehouses and platforms including Big Query, Snowflake, Redshift, or Databricks Experience using Excel or BI and visualization tools such as Power BI, Tableau, or Looker Exposure to predictive modeling, Machine Learning, or statistical modeling techniques Familiarity with Generative AI, Large Language Models (LLMs), or AI-based applications Portfolio demonstrating practical data work, such as Git Hub repositories, Kaggle notebooks, university assignments, bootcamp projects, or personal Data Analytics / Data Science projects

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Purpose The Data Analyst owns data extraction, reporting and dashboarding for Metabolic's clinical and business teams.<br> The role pulls data from the clinic's systems, structures it and turns it into dashboards and reports that give the team a clear read on patient outcomes, program performance and business metrics.<br> This role sits close to the Metabolic Baseline and the clinic's broader diabetes and metabolic health programs.<br> The work here feeds directly into research, partnerships and operational decisions across the business.<br> Key Responsibilities Data Extraction &amp; Management Extract data from the clinic's database and other systems on a regular schedule and on request.<br> Clean and structure data so it's ready for analysis, checking for accuracy and completeness before it goes anywhere.<br> Keep a documented process for every extraction so the same pull produces the same result each time.<br> Flag data quality issues to the relevant team and track them through to resolution.<br> Dashboards &amp; Reporting Build and maintain dashboards that track clinical, operational and program metrics for the teams that rely on them.<br> Update dashboards on a set schedule and keep the underlying data sources current.<br> Turn raw data into reports and presentations that summarize findings clearly for non-technical audiences.<br> Document the methodology behind every report so results can be checked and reproduced later.<br> SQL &amp; Database Work Write and maintain SQL queries against the clinic's database to pull, join and aggregate data across tables.<br> Optimize queries so dashboards and reports run without slowing down clinic systems.<br> Work with the technical team to flag schema changes that affect existing queries or reports.<br> Python &amp; Analysis Use Python and Pandas to clean, transform and analyze datasets that go beyond what SQL or spreadsheets can handle.<br> Build repeatable scripts for recurring analysis so the same request doesn't require manual rework each time.<br> Apply statistical methods to support research projects and clinical program evaluation.<br> Compliance &amp; Data Privacy Handle all patient and clinical data according to DHA guidelines and UAE Federal Law No.<br> 45 of 2021 on data protection.<br> Limit patient data access to authorized personnel and keep every extraction within an approved scope.<br> Understand, follow and support the clinic's infection control and data governance programs.<br> Escalate any clinical interpretation questions to the clinical team and log them.<br> This role does not answer clinical questions independently.<br> Bachelor's degree in a relevant field such as data science, statistics, computer science, public health or a related discipline.<br> One to three years of experience in a data analyst role, ideally with exposure to healthcare, clinical or life sciences data.<br> Strong SQL skills, comfortable writing queries that join and aggregate data across multiple tables.<br> Working proficiency in Python and Pandas for data cleaning, transformation and analysis.<br> Experience building dashboards in tools such as Power BI, Tableau or a comparable platform.<br> Excellent attention to detail with the ability to collect, organize and validate large volumes of data.<br> Strong written and verbal communication skills, with the ability to present data findings to a non-technical audience.<br> Knowledge of healthcare data privacy standards and clinical research data practices is a strong advantage.<br> Compliance All data handling follows UAE Federal Law No.<br> 45 of 2021 on the Protection of Personal Data and DHA requirements for patient information.<br> Patient confidentiality applies to every extract, report and dashboard.<br> Access stays limited to what a task requires.<br> No patient-identifiable data leaves the clinic's systems without approval from the relevant data owner.<br> Clinical questions arising from the data get escalated to the clinical team and logged.<br></span> </div>

Role: Coding Contest Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $45 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Competitive Coder Contest to work on a contract basis. This role involves solving algorithmic challenges under time constraints, testing coding skills against a global pool of participants. The position requires strong problem-solving abilities and familiarity with competitive programming formats.<br>Key Responsibilities:• Solve algorithmic and data structure problems within specified time limits.• Compete in timed coding contests using languages like Python, Java, or C++.• Analyze problem statements to identify optimal solutions and edge cases.• Submit code through a designated platform and receive real-time performance feedback.• Collaborate with other participants in a structured competitive environment.<br>Required Skills & Qualifications:• Proficiency in at least one programming language commonly used in competitive coding.• Strong grasp of algorithms, data structures, and time complexity analysis.• Ability to read and interpret technical problem statements quickly.• Experience with online coding platforms or competitive programming is preferred.• Self-motivation and ability to perform under pressure in timed environments.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to high-stakes competitive coding challenges. Participants gain visibility and recognition based on performance metrics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<p>Candidates must have at least 5 years of professional experience in Software Engineering, Backend Engineering, AI Applications, Automation Engineering, or related technical roles, with proven hands-on experience in delivering production-grade systems.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum 5 years of professional experience in AI engineering, Full stack engineering, automation engineering, software engineering, or related fields.</p></li><li><p>Proven experience building and deploying production-grade AI applications, backend systems, agentic systems, or workflow automations.</p></li><li><p>Strong hands-on experience in designing AI workflow orchestration, reducing model hallucinations, and building scalable Agentic AI architectures.</p></li><li><p>Strong programming skills in Python and Node.js.</p></li><li><p>Solid hands-on backend development experience in building REST APIs, web services, system integrations, authentication flows, and scalable server-side applications.</p></li></ul>

<p>Builds and validates predictive and generative models, and turns data into decisions clients can act on.&nbsp;</p><p>&nbsp;</p><p><strong>What you'll do&nbsp;</strong></p><ul><li>Design and validate machine learning models for prediction, classification, and forecasting&nbsp;</li><li>Partner with engineering to move models from notebook to production&nbsp;</li><li>Analyze structured and unstructured data to surface insight for client decisions&nbsp;</li><li>Build and maintain the data pipelines that feed AI models&nbsp;</li><li>Present findings and model performance clearly to technical and non-technical stakeholders&nbsp;</li></ul><p>&nbsp;</p><p><strong>What you bring&nbsp;</strong></p><ul><li>3+ years in data science or applied machine learning, with a quantitative degree or equivalent experience&nbsp;</li><li>Strong Python (pandas, scikit-learn) and SQL&nbsp;</li><li>Experience with a deep learning framework such as PyTorch or TensorFlow&nbsp;</li><li>Solid grounding in statistical methods and experiment design&nbsp;</li><li>Ability to explain findings clearly to non-technical audiences&nbsp;</li></ul>

<ul><li><p>Build and maintain Python/Django services on Azure Container Apps, including booking confirmation workflows, mailbox ingestion and AI classification</p></li><li><p>Develop a TypeScript monorepo using NestJS, Next.js and Prisma to power our B2B experience platform</p></li><li><p>Build and maintain supplier and distribution integrations covering bookings, availability, rates and hotel content across REST/JSON and SOAP/XML APIs</p></li><li><p>Develop hotel content and mapping pipelines across multiple supplier feeds</p></li><li><p>Build and maintain CI/CD pipelines, containerised deployments and cloud infrastructure</p></li><li><p>Automate manual operational processes across the business</p></li><li><p>Own features and systems end-to-end, from development through to production</p></li><li><p>Work directly with the Chief Technology Officer and help shape the technology department as it grows</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>2+ years’ experience building and shipping production software</p></li><li><p>Strong in Python and TypeScript/JavaScript</p></li><li><p>Practical experience with a Python web framework such as Django or FastAPI, and a Node framework such as NestJS, Express or similar</p></li><li><p>Relational database experience with an ORM such as Prisma, Django ORM, TypeORM or equivalent, including schema design and migrations</p></li><li><p>Hands-on experience with CI/CD, including building and maintaining pipelines</p></li><li><p>Practical experience running applications on Azure or AWS, including deployments, containers, managed databases and monitoring</p></li><li><p>Comfortable owning a feature end-to-end, from schema and API to UI and deployment</p></li><li><p>Good written and spoken English</p></li><li><p>A hands-on, doer and goal-oriented mindset, with a strong sense of ownership and accountability</p><br><p><strong>Preferred Experience:</strong></p></li><li><p>Experience in travel, tourism, hospitality or DMC/OTA systems</p></li><li><p>Azure Container Apps or exposure to both Azure and AWS</p></li><li><p>Prisma and Next.js in a monorepo setup</p></li><li><p>Integration work with legacy SOAP/XML APIs</p></li><li><p>Docker, infrastructure-as-code and PostgreSQL</p></li><li><p>Currently based in the UAE with a valid visa</p></li></ul>

Role: Senior Software Engineer - Backend (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $150/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis. The role involves designing, developing, and maintaining high-performance software systems while collaborating with cross-functional teams to deliver scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize software systems to meet performance and scalability requirements.• Lead code reviews, mentor junior engineers, and ensure adherence to best practices.• Collaborate with product managers and stakeholders to define technical requirements.• Troubleshoot and resolve complex technical issues in production environments.• Contribute to architectural decisions and system design for long-term maintainability.<br>Required Skills & Qualifications:• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.• 5+ years of professional software development experience in relevant technologies.• Proficiency in programming languages such as Python, Java, or Go.• Strong understanding of data structures, algorithms, and system design principles.• Experience with cloud platforms like AWS, GCP, or Azure.• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).• Knowledge of CI/CD pipelines and Dev Ops practices.• Experience with microservices architecture and distributed systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the development of cutting-edge platforms that power mission-critical services.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Mathematics Professor/Researcher (PhD) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Mathematics Professor/Researcher (PhD) to work on a contract basis. The role involves theoretical and applied research in advanced mathematical frameworks, with a focus on algorithmic innovation and computational efficiency. Candidates will contribute to high-impact projects in AI and data science, leveraging deep mathematical expertise to solve complex problems.<br>Key Responsibilities:• Develop and refine mathematical models for AI-driven applications, including optimization and probabilistic reasoning.• Conduct rigorous theoretical analysis to validate and extend existing algorithms.• Collaborate with cross-functional teams to translate mathematical insights into scalable computational solutions.• Publish findings in peer-reviewed journals or present at academic and industry conferences.• Mentor junior researchers or graduate students in advanced mathematical concepts.<br>Required Skills & Qualifications:• PhD in Mathematics, Applied Mathematics, or a closely related field.• Proven expertise in mathematical modeling, numerical analysis, or computational mathematics.• Proficiency in programming languages such as Python, MATLAB, or Julia for mathematical simulations.• Strong background in statistics, linear algebra, or differential equations.• Experience with machine learning frameworks or optimization algorithms is highly desirable.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of next-generation AI systems. The contract duration is project-based, with potential for extension based on performance and project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Mechanical Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $40/hour<br>Role Overview:The client seeks an Engineering Expert to provide specialized technical guidance for system architecture decisions, troubleshooting complex issues, and optimizing performance across distributed systems. The role requires deep expertise in multiple engineering domains to support critical infrastructure and product development initiatives.<br>Key Responsibilities:• Design and evaluate scalable system architectures to meet evolving business and technical requirements.• Diagnose and resolve high-priority technical issues in production environments with minimal downtime.• Develop and document engineering best practices, standards, and guidelines for cross-team adoption.• Collaborate with product, engineering, and operations teams to align technical solutions with business objectives.• Mentor junior engineers and conduct code reviews to ensure adherence to quality and security standards.<br>Required Skills & Qualifications:• Experience with distributed systems, microservices, or large-scale backend infrastructure.• Proficiency in at least one programming language such as Python, Java, Go, or Rust.• Strong problem-solving skills with a track record of resolving complex technical challenges.• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).• Ability to write clear technical documentation and communicate architectural decisions effectively.<br>More About the Opportunity:This role offers the chance to work with a global leader in the Technology, Information and Internet industry, contributing to the scalability and reliability of mission-critical systems. The position provides exposure to cutting-edge technologies and the opportunity to shape technical strategy for high-impact projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Computational Biology Expert (PhD) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a Computational Biology Expert (PhD) to work on a contract basis. The role involves developing and implementing computational models to analyze biological data. You will collaborate with cross-functional teams to solve complex problems in data-driven biology.<br>Key Responsibilities:• Design and develop computational frameworks to process large-scale biological datasets.• Apply machine learning techniques to model biological systems and predict outcomes.• Develop algorithms for genomic, proteomic, or other high-throughput biological data.• Interpret results and communicate findings to stakeholders in a clear, actionable manner.• Stay current with advancements in computational biology, bioinformatics, and related tools.<br>Required Skills & Qualifications:• PhD in Computational Biology, Bioinformatics, or related field with relevant research experience.• Proficiency in programming languages such as Python, R, or C++ for data analysis and modeling.• Experience with machine learning frameworks and libraries, including Tensor Flow or PyTorch.• Strong background in statistical analysis and experimental design for biological data.• Familiarity with tools like BLAST, Bowtie, or other bioinformatics software suites.• Ability to work independently in a remote setting while meeting project deadlines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the biotechnology research industry, contributing to advancements in drug discovery and personalized medicine. The position provides exposure to cutting-edge computational tools and datasets.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AI Trainer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a LLM Trainer - Agent Function call to enhance large language models by generating high-quality proprietary data for fine-tuning and evaluation. The role involves simulating multi-turn conversations where AI assistants use function-calling tools to accomplish user goals.<br>Key Responsibilities:• Design multi-turn conversations simulating real interactions between users and AI assistants using tools like calendar, email, maps, and drive.• Emulate both user and assistant roles, including assistant tool calls when corrections are required.• Select when and how assistants use available tools to ensure logical flow and proper function call usage.• Craft dialogues demonstrating natural language, intelligent behavior, and contextual understanding across multiple turns.• Iterate on conversation examples based on feedback to improve realism, clarity, and training value.<br>Required Skills & Qualifications:• Proficiency in Python, Java, or Java Script for scripting and data generation tasks.• Experience with multi-turn dialogue design and natural language simulation.• Ability to emulate AI assistant behavior, including tool use and function calls.• Familiarity with formatting guidelines and quality standards for training data.• Strong attention to detail in crafting realistic and coherent interactions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of frontier AI model capabilities.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Card Fraud Model Development &amp; Optimization Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives. Model Hosting &amp; Deployment Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments. MLOps &amp; Automation Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes. Evaluation &amp; Testing Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements. Collaboration &amp; Stakeholder Management Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field. Technical Skills Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit- learn). Hands-on experience with MLOps tools and practices (e.g., MLflow,Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data. Experience 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. <strong>Preferred Qualifications</strong> Experience in banking or payments industry. Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment. Knowledge of regulatory compliance in fraud risk management.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Client is establishing a next-generation electronic trading and market-making platform across assets classes – Rates, Credit, and FX , with capabilities spanning in-house pricing, real-time distribution, and straight-through processing (STP). We are seeking a Senior Electronic Trading Engineer to design and build low-latency, event-driven trading systems that integrate market data, pricing libraries, and execution venues, enabling real-time streaming, execution, and risk-aware trade processing. This is a front-office technology role, working closely with traders, quants, and platform teams. Responsibilities Key Accountabilities Platform Engineering &amp; Architecture Design and implement high-performance, low-latency trading applications Build event-driven architecture supporting: Market data ingestion Pricing orchestration Real-time price streaming Develop systems capable of high throughput and deterministic latency performance Pricing &amp; Quant Integration Integrate quantitative pricing libraries into real-time trading flows Work with quant teams to: Productionize pricing models Optimize models for latency-sensitive environments Implement pricing services / APIs consumable by distribution channels Market Data &amp; Distribution Integrate with market data providers (e.g., Bloomberg, Refinitiv) Build low-latency market data handlers for: Tick processing Normalization Internal distribution Enable real-time price streaming to external/internal clients Execution &amp; Venue Connectivity Implement connectivity to: Trading venues (ECNs, MTFs, dealers) Internal/external liquidity sources Develop: Order routing logic Execution workflows (RFQ, streaming, DMA) Support low-latency order lifecycle management STP &amp; Trade Processing Ensure integration with: Trade capture systems (e.g., Murex) Risk and downstream processing platforms Build real-time STP pipelines ensuring: Accuracy Resilience Auditability Performance Optimization Continuously optimize: Latency Throughput Resource utilization Apply advanced techniques: Concurrency / multithreading Memory optimization Network tuning Ensure systems meet strict latency SLAs typical of trading environments Collaboration &amp; Delivery Work closely with: Front Office (trading, sales) Quantitative research teams Infrastructure and production support Participate in Full SDLC (design → build → test → deploy → support) Contribute to architecture decisions and platform evolution Skills Must have 10+ years exp in capital markets technology Minimum 7+ years exp in electronic trading platform development Experience in: Cross-asset trading platforms, Pricing frameworks (FX, Rates, Credit derivatives) Knowledge of: Cloud-native deployment (AWS / Azure), Containerization (Docker, Kubernetes) Exposure to: Smart Order Routing / algorithmic execution Scripting languages: Python (for integration / tooling) Strong programming expertise in C# (preferred for latency-critical components), Python. Deep understanding of: Multithreading, concurrency, and event-driven systems, Low-latency system design and optimization. Experience with: Messaging frameworks (e.g., Kafka, Solace, JMS), REST / WebSocket APIs for real-time streaming, Strong Linux/Unix development environment experience Trading / Capital Markets Experience: Strong knowledge of: Electronic trading workflows (RFQ, streaming, execution). Market microstructure across FX / Rates / Credit Experience building: Front-office trading or pricing systems, Venue/exchange connectivity (FIX protocol preferred) Integration Expertise: Proven experience integrating: Market data feeds, Pricing libraries / quant models, Trade booking systems (e.g., Murex or similar platforms) Understanding of: Trade lifecycle, STP and post-trade flows System Design &amp; Performance Experience designing: Distributed, scalable, low-latency architectures Knowledge of: Data structures &amp; algorithm optimization, High-throughput systems Nice to have NA Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

Role: Software Engineer (Human Data Platforms) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $140K - $220K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full-time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.<br>Key Responsibilities:• Design, build, and optimize data pipelines to process human-generated datasets at scale.• Develop and maintain backend services that support real-time and batch data processing.• Collaborate with data scientists and analysts to ensure data integrity and accessibility.• Implement monitoring, logging, and alerting systems to maintain platform reliability.• Contribute to architectural decisions that enhance scalability and performance of data systems.<br>Required Skills & Qualifications:• Proficiency in Python, Java, or Go for backend development.• Experience with distributed systems, including Kafka, Spark, or similar technologies.• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.• Familiarity with SQL and NoSQL databases for data storage and retrieval.• Understanding of data governance, security, and compliance best practices.• Ability to design and optimize data pipelines for performance and scalability.• Experience with containerization and orchestration tools like Docker and Kubernetes.• Strong problem-solving skills and attention to detail in debugging complex systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Vulnerability Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $240K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Vulnerability Researcher to work on a full-time basis. The role involves conducting deep technical analysis to identify software vulnerabilities across systems and applications. Responsibilities include reverse engineering, code analysis, and threat modeling to assess potential security risks.<br>Key Responsibilities:• Perform static and dynamic analysis of software to detect vulnerabilities in codebases and infrastructure.• Develop proof-of-concept exploits to validate identified vulnerabilities and assess their impact.• Collaborate with engineering teams to triage and prioritize security findings for remediation.• Research emerging threats, attack vectors, and zero-day vulnerabilities in relevant technologies.• Document findings, including technical details, risk assessments, and mitigation recommendations.<br>Required Skills & Qualifications:• Proficiency in programming languages such as C, C++, Python, or Go for vulnerability analysis and exploitation.• Experience with reverse engineering tools like IDA Pro, Ghidra, or Binary Ninja.• Knowledge of common vulnerability types, including buffer overflows, race conditions, and injection flaws.• Familiarity with network protocols, operating systems internals, and memory corruption techniques.• Hands-on experience with fuzzing tools like AFL, Lib Fuzzer, or Honggfuzz.• Understanding of secure coding practices and secure development lifecycle methodologies.• Ability to produce clear, technical reports for stakeholders at varying levels of expertise.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to enhanced security posture and risk mitigation for critical systems. The position involves direct collaboration with cross-functional teams to drive improvements in security architecture and incident response.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: EMember of Technical Staff - Enterprise AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.<br>Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!