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