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🇮🇳GurgaonStudentInternPosted August 20, 2026

About the Role

Join Tower Research Capital as an AI/ML Intern and contribute to cutting-edge machine learning and agentic AI systems. You will work on building and evaluating multi-agent systems, implementing agentic coding tools like Claude Code, and developing statistical and machine learning algorithms to support business and technical requirements. This role involves MLOps practices for deploying and maintaining machine learning models in production, as well as analyzing model performance through experiments and optimization.

Requirements

  • A bachelor’s, master’s, or PhD degree (ongoing or completed), or equivalent qualification, from a top university
  • Availability to join an in-office internship for six months starting January 2027
  • Expertise in modern agentic AI tooling, including agentic coding assistants such as Claude Code (or similar), building multi-agent systems, and integrating with protocols and frameworks such as Model Context Protocol (MCP) or agent skills
  • Experience training, building, and deploying machine learning models using TensorFlow, PyTorch, or similar frameworks
  • Familiarity with MLOps practices for model deployment, productionization, and lifecycle management
  • Strong knowledge of Python
  • Hands-on experience using Linux, SQL, Git, and Bash scripting
  • A background in or experience with the finance domain is a plus

What You'll Get

  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • Free breakfast, lunch, and snacks daily
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Volunteer opportunities and charitable giving
  • Social events, happy hours, treats, and celebrations throughout the year
  • Workshops and continuous learning opportunities