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✓ Verified Listing🎯 Active Opportunity

Intern - AI/ML

Tower Research CapitalPosted 6 days agoLast checked Aug 29, 2026
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📍 Gurgaon
💼 Fresher
Internship
🎓 2027, 2028 Batch
🚀 Data Science
💰Competitive (Company Standard)

Job Details & Requirements

Verified Employer Listing

Job Description

Intern - AI/ML

gurgaon

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.

🎯 What Success Looks Like in This Role

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.

📋 Requirements & 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.

Recommended Technical Skills
PythonTensorFlowPyTorchLinuxSQLGitBash scriptingModel Context Protocol (MCP)Claude CodeMLOps practices

🎓 Preparation & Hiring Insights

Verified Insights
💰 Salary Insights (India)
Industry Range

The average salary for a machine learning engineer in the finance industry is around ₹15-20 lakhs per annum.

Freshers

The average salary for a fresher in the finance industry is around ₹8-12 lakhs per annum.

Experienced

The average salary for an experienced professional in the finance industry is around ₹25-35 lakhs per annum.

⚡ Selection Rounds

1
Round 1: The first round of the hiring process will be a technical screening, where the candidate's resume and cover letter will be reviewed to ensure they meet the minimum qualifications for the role.
2
Round 2: The second round of the hiring process will be a technical interview, where the candidate will be asked to answer technical questions related to Python, TensorFlow, PyTorch, and Linux.
3
Round 3: The third round of the hiring process will be a coding challenge, where the candidate will be asked to complete a coding task related to machine learning and software development.
4
Round 4: The fourth round of the hiring process will be a final interview, where the candidate will be asked to answer behavioral questions related to their experience and skills.

💡 Top Interview Questions to Prepare

  1. What is your experience with Python, and how have you used it in previous projects?
  2. Can you explain the difference between TensorFlow and PyTorch, and when you would use each?
  3. How do you approach debugging and troubleshooting in your code?
  4. Can you walk me through your experience with Linux, and how you have used it in previous projects?
  5. Can you explain the concept of MLOps, and how you have used it in previous projects?

Frequently Asked Questions

The salary range for this role is around ₹15-20 lakhs per annum, depending on experience and skills.
The key skills required for this role are Python, TensorFlow, PyTorch, Linux, MCP, Claude Code, and MLOps practices.
The company culture is fast-paced and dynamic, with a strong focus on innovation and technology.
Job Summary

Intern - AI/ML

CompanyTower Research Capital
LocationGurgaon
Salary / StipendAs per standards
ExperienceFresher
Target Batch2027, 2028
Job TypeInternship
Application Routejob-boards.greenhouse.io
Apply Now

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