Tower Research Capital
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Gurugram · Hybrid · 0-1 Yrs · Oct 16
Investment & Asset Management · 1001 to 5000 Employees · New York, US
At Tower, we not only strive to excel at what we are doing, we thoroughly enjoy doing it. Tower’s main office and garden roof deck are located in TriBeCa, a neighborhood in downtown Manhattan. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Working at Tower is challenging and exciting, and we have worked hard to create an environment where collaboration and engagement are paramount, and encourage team members to share their experience and knowledge. Our benefits include competitive compensation packages, 401(k) with company matching, generous vacation and holiday policies, free breakfast, lunch, and snacks on a daily basis, fitness reimbursement and free tickets to events.
Hiring: Engineering
What employees say
+ Good benefits and additional health perks
− Corporate politics and one sided cultural influence
More reviews on the company profile.
Interview experience · SRE
The exam consists of five rounds: three technical, one system design and one HR. The OA is just python and mcq on financial assets and modelling. Therre will be puzzles as well in interviews
Very_difficult difficulty · Gurgaon, Haryana · 62 reports
More interview insightsJob description
Overview
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.
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.
- 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
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Job application FAQ
Last updated 17 October 2026
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- Is Intern - AI/ML remote or on-site in Gurugram, Haryana?
- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
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- This is a entry-level / fresher Intern - AI/ML role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.