Job TitleAI/ML Development AnalystJob SummaryCommonfund 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 SkillsProgramming & 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
