Intern - AI/ML

Tower Research Capital; Gurugram District; On-site; INR 5,731,000 - 7,641,000; Full time

Benefits offered by this job

Hybrid working

Free meals

Wellness reimbursement

Office events

Learning workshops

Job summary

Tower Research Capital offers an in-office six-month internship starting January 2027, inviting advanced students or graduates to contribute to cutting-edge trading infrastructure. You will work on multi-agent systems, agentic tooling, and ML model development in a fast-paced research environment.

Ideal candidates bring Python expertise, ML framework experience (TensorFlow/PyTorch), and familiarity with MLOps.

Qualifications

• In-office internship for six months starting January 2027.
• Expertise in agentic AI tooling and multi-agent systems with MCP or agent skills.
• Experience training and deploying ML models with TensorFlow, PyTorch, or similar.
• Familiarity with MLOps for deployment and lifecycle management.
• Strong Python, Linux, SQL, Git, and Bash scripting.
• Finance domain background is a plus.

Responsibilities

• Build and evaluate multi-agent systems and integrate with MCP and agent skills.
• Implement agentic coding tools like Claude Code to automate workflows.
• Develop and deploy ML models to support business and technical needs.
• Contribute to MLOps for deploying, monitoring, and maintaining models in production.
• Analyze model performance through experiments and refine models.

Skills

Agentic AI tooling

Multi-agent systems

Python

Linux

SQL

Git

Bash scripting

Finance domain knowledge

Education

Bachelor's / Master's / PhD (ongoing or completed)

Tools

Claude Code

TensorFlow

PyTorch

Model Context Protocol (MCP)

Git

Job description

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Responsibilities

• Building and evaluating multi-agent systems, including agent orchestration, tool-calling, and integration with protocols and frameworks such as Model Context Protocol (MCP) and agent skills.
• Implementing agentic coding tools, such as Claude Code, to accelerate development, automate workflows, and build internal tooling.
• Developing and implementing statistical and machine learning algorithms and models to support business and technical requirements.
• Contributing to MLOps practices for deploying, monitoring, and maintaining machine learning models in production environments.
• Analyzing model performance through experiments and testing, while contributing to the optimization and fine-tuning of existing models.

Qualifications

• A bachelor’s, master’s, or PhD degree (ongoing or completed), or equivalent qualification, from a top university, with availability to join an in-office internship for six months starting January 2027.
• Expertise in modern agentic AI tooling is required, 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, with hands-on experience using Linux, SQL, Git, and Bash scripting.
• A background in or experience with the finance domain is a plus.

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

Our benefits include:

• 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

At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together.

Tower Research Capital is an equal opportunity employer.