Tower Research Capital, a systematic trading firm, is hiring an AI/ML Intern for its Gurgaon office. This is a six-month, in-office internship starting January 2027, and it stands out from most fresher AI/ML postings for one specific reason: expertise in agentic AI tooling — things like Claude Code and the Model Context Protocol (MCP) — is listed as a required qualification, not a nice-to-have.
This isn’t a typical “learn ML basics on the job” internship. Tower is looking for someone who already has hands-on experience building multi-agent systems and using agentic coding assistants to automate development work, alongside more conventional ML skills like training and deploying models with TensorFlow or PyTorch. If your AI/ML exposure so far has been limited to classical ML coursework, this particular role will feel like a stretch — it’s aimed at candidates who’ve already been experimenting with the newest generation of AI tooling.
For more AI/ML and internship opportunities, browse AI/ML Jobs and Internship Opportunities on FreshersJob4U.
Apply Online — Tower Research Capital AI/ML Intern
Quick Overview
| Parameter | Details |
|---|---|
| Company | Tower Research Capital |
| Role | Intern – AI/ML |
| Work Location | Gurgaon, India |
| Work Mode | In-office (hybrid working opportunities mentioned as a general company benefit) |
| Duration | 6 months, full-time |
| Internship Start Date | January 2027 |
| Stipend | Not disclosed in the official posting |
| Application Mode | Online via Tower’s Greenhouse careers portal |
Role & 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, and contributing to optimization and fine-tuning of existing models.
Eligibility Criteria
Educational Qualification
A bachelor’s, master’s, or PhD degree (ongoing or completed), or an equivalent qualification, from a top university. Candidates must be available to join an in-office internship for six months starting January 2027 — this timing is fixed and not flexible per the posting.
Required Skills
- Expertise in agentic AI tooling — including agentic coding assistants such as Claude Code (or similar), building multi-agent systems, and integrating with protocols/frameworks like MCP or agent skills. This is stated as required, not preferred.
- 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 mentioned as a plus, not a requirement.
Who Should Apply?
- Candidates from top universities who have gone beyond coursework and actually built or experimented with multi-agent systems or agentic coding tools like Claude Code.
- Those with solid classical ML fundamentals (TensorFlow/PyTorch, model training and deployment) who’ve also kept up with newer agentic AI development patterns.
- Candidates comfortable with Linux, SQL, Git, and scripting as daily tools, not just Python in isolation.
- Those who can commit to relocating to or being based in Gurgaon for an in-office role starting January 2027.
Who Is This Role Not For?
- Candidates whose AI/ML exposure is limited to standard coursework or Kaggle-style projects without any hands-on agentic AI tooling experience — this is explicitly called out as a required skill, not something you can pick up during the internship.
- Those who cannot commit to the fixed January 2027 start date or the in-office requirement.
- Candidates looking for a finance-focused quant internship — this role is explicitly on the engineering/ML side, with finance domain knowledge listed only as a plus.
Stipend
Tower Research Capital has not disclosed a stipend figure in the official posting. Candidates should confirm this during the interview or offer stage. The posting does list a broader set of workplace perks — including free daily meals, wellness reimbursements, and financial wellness tools — that apply to the wider team, though it’s not stated which of these extend to interns specifically.
Selection Process
The official posting does not describe a specific interview format. Given the unusually specific and advanced skill requirements, candidates should be ready to demonstrate — not just describe — real experience with agentic coding tools and multi-agent system design, alongside standard ML fundamentals like model training, evaluation, and deployment.
If your current skill set is closer to classical ML and you want to build up to something like this, our Skills Required for AI/ML Jobs for Freshers guide is a good starting point.
How to Apply
- Visit the official Tower Research Capital job listing: Intern – AI/ML, Gurgaon.
- Click “Apply” and fill in your personal details, including first name, last name, email, phone, and current location.
- Attach your resume/CV (PDF, DOC, DOCX, TXT, or RTF formats accepted).
- Optionally attach a cover letter and add your LinkedIn profile or personal website.
- Submit your application.
Important Links
| Resource | Link |
|---|---|
| Apply Online | Apply Now → |
| Tower Research Capital — All Open Positions | tower-research.com/open-positions |
About Tower Research Capital
Tower Research Capital is a systematic trading firm headquartered in the historic Equitable Building in New York City’s Financial District, with more than a dozen offices globally. The firm builds electronic trading infrastructure and empowers portfolio managers to run their own teams and strategies independently, while its engineering teams work on low-latency programming, FPGA technology, hardware acceleration, and machine learning to keep its trading platform competitive at a global scale.
Frequently Asked Questions (FAQs)
Q1. When does this internship start?
The internship starts in January 2027 and runs for six months, in-office.
Q2. Do I really need experience with tools like Claude Code to apply?
Yes. The posting explicitly lists expertise in agentic AI tooling, including agentic coding assistants like Claude Code and frameworks such as MCP, as a required qualification rather than a preferred one.
Q3. Is finance domain knowledge required?
No. It’s listed as a plus, not a requirement — this role is primarily an AI/ML engineering position.
Q4. What is the stipend for this internship?
Tower Research Capital has not disclosed a stipend figure in the official posting. Candidates should confirm this during the hiring process.
Q5. Is this a remote or hybrid internship?
The role is based in Gurgaon and structured as an in-office internship, though Tower lists hybrid working arrangements as a general benefit across the company — candidates should clarify the exact expectation for this specific internship during the application process.
Source & Verification
- Source: Official Tower Research Capital careers listing (Greenhouse)
- Official Website: tower-research.com
- Application Portal: Greenhouse Careers Portal
- Last Checked: 24 August 2026
FreshersJob4U is not affiliated with Tower Research Capital. This post is for informational purposes only. Candidates should verify all details, including current application status, directly on the official application link before applying.
Engineering graduate and founder of FreshersJob4U. I write detailed job guides, interview prep resources, and career roadmaps for freshers and early-career professionals in India. This site started from my own experience with the scattered, confusing fresher job search — I wanted to build something cleaner.
