AI/ML Development Analyst

Job Title AI/ML Development Analyst Job Summary Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development . This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes at Commonfund. Candidates should have a strong analytical mindset and an interest in applying AI/ML solutions within the financial domain . Key Responsibilities Design, develop, and deploy machine learning and AI-driven solutions for business and financial applications. Build and implement Agentic AI systems , including autonomous workflows and multi-agent architectures. Develop and maintain data pipelines, model training workflows, and inference services . Analyze large datasets to extract insights and build predictive or decision-support models. Design and implement APIs and web-based interfaces for AI/ML solutions. Write efficient and scalable code using Python and related frameworks. Use SQL to query, transform, and analyze structured data. Collaborate with cross-functional teams including product, engineering, and data teams to integrate AI capabilities into applications. Evaluate new AI/ML techniques, frameworks, and research for potential adoption. Document models, algorithms, and system architectures. Ensure solutions follow best practices for security, scalability, and reliability . Required Qualifications Bachelor s or Master s degree in Mathematics, Data Science, Computer Science with Artificial Intelligence, or a related field . Strong experience with Python programming . Minimum one year hands-on experience developing machine learning or AI-based solutions . Experience building or working with Agentic AI systems or autonomous AI workflows . Strong knowledge of SQL and database systems . Experience with web development frameworks or API development . Experience with ML frameworks as TensorFlow, PyTorch, or Scikit-learn Strong analytical, problem-solving, and debugging skills. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications Experience working with financial data and developing financial applications . Experience with LLM integration, prompt engineering, and AI orchestration frameworks . Knowledge of data engineering pipelines and cloud platforms (AWS, Azure). Experience building production-grade AI applications. Technical Skills Programming & Development Python

SQL REST

APIs Web development (e.g., Svelte, FastAPI, or similar) Experience with C# programming and other Microsoft tools preferred. AI/ML Machine learning model development LLM applications Agentic AI architecture Data analysis and feature engineering Tools & Platforms (preferred) Git / version control Cloud platforms (AWS, Azure, GCP) Containerization (Docker) Data visualization tools Key Competencies Analytical thinking and quantitative reasoning Strong problem-solving ability Curiosity and continuous learning in AI technologies Ability to translate business problems into technical AI solutions Interest in applying AI within the financial and investment domain