AI/ML Development Analyst (Immediate Hire, 2026 Grads)

Commonfund is seeking an AI/ML Development Analyst to design, develop, and deploy artificial intelligence and machine learning solutions for financial and business applications. The role focuses on building agentic AI systems, data pipelines, predictive models, APIs, and web interfaces while collaborating with product, engineering, and data teams.

What you'll do:

• 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

What they're looking for:

• 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
• 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)