Tower Research Capital is hiring for an Intern – AI/ML position in Gurgaon. The six-month, in-office internship focuses on agentic AI, machine learning, MLOps, and AI-powered development tools, making it particularly relevant for candidates with strong Python and ML backgrounds.
Tower Research Capital Internship 2027: Job Overview
| Particular | Details |
|---|---|
| Company | Tower Research Capital |
| Job Role | Intern – AI/ML |
| Location | Gurgaon, India |
| Employment Type | Internship |
| Duration | 6 months |
| Start Date | January 2027 |
| Work Model | In-office |
| Education | Bachelor’s, Master’s, or PhD, ongoing or completed |
| Core Skills | Python, Machine Learning, Agentic AI, MLOps |
| Technical Skills | Linux, SQL, Git, Bash |
| ML Frameworks | TensorFlow, PyTorch, or similar |
| Finance Experience | Preferred, not required |
About the Opportunity
The AI/ML Intern will work on machine learning and agentic AI initiatives at Tower Research Capital, a firm focused on systematic trading and technology.
The role combines modern AI development with practical machine learning engineering. Interns will work on multi-agent systems, AI-powered coding tools, ML models, and production-oriented MLOps activities.
Key Responsibilities
- Build and evaluate multi-agent AI systems.
- Work with agent orchestration and tool-calling.
- Integrate frameworks and protocols such as Model Context Protocol (MCP) and agent skills.
- Implement agentic coding tools such as Claude Code or similar technologies.
- Develop internal tools and automate workflows.
- Develop and implement statistical and machine learning algorithms.
- Train and evaluate machine learning models.
- Contribute to MLOps practices for production ML systems.
- Monitor and maintain machine learning models.
- Conduct experiments and testing to evaluate model performance.
- Help optimize and fine-tune existing models.
Required Skills & Qualifications
- Bachelor’s, Master’s, or PhD degree, either ongoing or completed.
- Availability for a six-month in-office internship beginning January 2027.
- Strong knowledge of modern agentic AI tooling.
- Experience building multi-agent systems.
- Familiarity with MCP or similar protocols and frameworks.
- Experience with agentic coding assistants such as Claude Code or similar tools.
- Experience training, building, and deploying ML models.
- Knowledge of TensorFlow, PyTorch, or similar ML frameworks.
- Familiarity with MLOps and production ML lifecycle management.
- Strong Python skills.
- Hands-on experience with Linux, SQL, Git, and Bash scripting.
Preferred Skills
Experience or knowledge of the finance domain is listed as a plus.
Who Should Apply?
This internship is best suited for students, researchers, or recent graduates with a strong foundation in AI/ML and Python who are interested in moving beyond model experimentation into agentic AI, production ML, and MLOps.
Candidates should pay particular attention to the agentic AI requirement. This is not a generic beginner ML internship. The listing specifically requires experience with multi-agent systems, agentic coding tools, and protocols such as MCP.
Career Opportunity
Tower Research Capital describes an environment focused on challenging technical problems, collaboration, continuous learning, and innovation. The AI/ML internship can provide exposure to areas including machine learning, agentic systems, MLOps, production model deployment, and AI automation.
Frequently Asked Questions
1. What is the internship role?
The position is Intern – AI/ML at Tower Research Capital.
2. Where is the internship located?
The position is based in Gurgaon, India.
3. How long is the internship?
The internship is for six months.
4. When does the internship start?
The listing specifies January 2027.
5. Is the internship remote?
No. The qualification section specifies availability for an in-office internship.
6. What degree is required?
Candidates with an ongoing or completed Bachelor’s, Master’s, or PhD degree can meet the stated education requirement.
7. What programming language is required?
Strong knowledge of Python is required.
8. Is finance experience mandatory?
No. A background in or experience with the finance domain is listed as a plus.
9. What ML frameworks are mentioned?
The listing mentions TensorFlow, PyTorch, or similar frameworks.
10. Is this suitable for a beginner in AI?
The requirements suggest that candidates should already have hands-on experience with agentic AI, multi-agent systems, ML model development/deployment, and MLOps. It is therefore aimed at candidates with practical AI/ML experience rather than complete beginners.
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Final Thoughts
The Tower Research Capital AI/ML Internship stands out because it combines agentic AI, machine learning, MLOps, and production engineering rather than focusing on traditional model-building alone. Candidates targeting this role should be comfortable with Python, ML frameworks, Linux, SQL, Git, and modern AI-agent tooling.