Tower Research Capital Intern – AI/ML 2027: Eligibility, Skills, Responsibilities and Application Details
Tower Research Capital is hiring for an Intern – AI/ML position in Gurgaon (Gurugram), India. The role is designed for students or graduates with strong machine learning skills and hands-on experience in modern agentic AI tooling, MLOps, Python, and related engineering technologies.
The six-month internship is scheduled to begin in January 2027 and requires candidates to be available for an in-office internship. The role offers exposure to multi-agent systems, machine learning model development, agentic coding tools, production ML systems, and model experimentation.
Tower Research Capital AI/ML Internship 2027 – Overview
| Particular | Details |
|---|---|
| Company | Tower Research Capital |
| Position | Intern – AI/ML |
| Location | Gurgaon, India |
| Work Mode | In-office |
| Duration | 6 months |
| Expected Start | January 2027 |
| Employment Type | Internship |
| Eligible Education | Bachelor’s, Master’s, or PhD, ongoing or completed |
| Primary Skills | AI/ML, Python, agentic AI, MLOps |
| Other Technical Skills | Linux, SQL, Git, Bash |
| ML Frameworks | TensorFlow, PyTorch, or similar |
| Finance Experience | Plus, not mandatory |
About the Tower AI/ML Internship
The AI/ML intern will work on machine learning and emerging agentic AI applications within Tower Research Capital’s technology environment.
The position combines machine learning engineering, agentic AI development, experimentation, and MLOps. Interns will be expected to work on systems that can support business and technical requirements while contributing to the deployment and optimization of machine learning solutions.
A particularly important part of this opening is the requirement for experience with modern agentic AI tooling. Candidates should be comfortable working with agentic coding assistants and building multi-agent systems rather than having only theoretical knowledge of AI/ML.
Key Responsibilities
1. Build Multi-Agent Systems
The intern will work on multi-agent systems, including:
- Agent orchestration
- Tool-calling systems
- Integration with AI protocols and frameworks
- Model Context Protocol (MCP)
- Agent skills
This makes experience with current agentic AI development particularly relevant to the position.
2. Develop Agentic Coding Tools
The role involves implementing agentic coding tools such as Claude Code or similar tools.
These tools may be used to:
- Accelerate software development
- Automate workflows
- Create internal tooling
- Improve engineering productivity
Candidates should therefore understand how AI coding assistants can be integrated into practical development workflows.
3. Develop Machine Learning Models
The intern will also develop and implement statistical and machine learning algorithms and models to address business and technical requirements.
Experience with frameworks such as TensorFlow or PyTorch is specifically mentioned.
4. Contribute to MLOps
The position includes exposure to the operational side of machine learning, including:
- Model deployment
- Productionization
- Model monitoring
- Model maintenance
- Machine learning lifecycle management
This means candidates should be familiar with taking ML models beyond experimentation and into production environments.
5. Test and Optimize Models
The intern will analyze model performance using experiments and testing. They will also contribute to:
- Performance optimization
- Model fine-tuning
- Evaluation of existing models
- Experiment-driven improvements
Eligibility Criteria
According to the supplied job description, applicants should meet the following requirements.
Educational Qualification
Candidates must have an ongoing or completed:
- Bachelor’s degree
- Master’s degree
- PhD
or an equivalent qualification from a top university.
The candidate must also be available to join a six-month, in-office internship starting in January 2027.
Required AI/ML and Agentic AI Skills
Tower specifically requires expertise in modern agentic AI tooling. Candidates should have experience with areas such as:
- Agentic coding assistants such as Claude Code or similar
- Building multi-agent systems
- Agent orchestration
- Tool calling
- MCP
- Agent skills
- Related agentic AI frameworks and protocols
This is one of the most distinctive requirements of the internship.
Machine Learning Experience
Candidates should have practical experience in training, building, and deploying machine learning models using:
- TensorFlow
- PyTorch
- Similar machine learning frameworks
MLOps Knowledge
Familiarity with MLOps practices is required, particularly around:
- Deployment
- Productionization
- Monitoring
- Lifecycle management of ML models
Programming and Engineering Skills
Strong knowledge of Python is required.
Hands-on experience with the following is also expected:
- Linux
- SQL
- Git
- Bash scripting
Finance Background
A background in or previous experience with the finance domain is considered an advantage. It is listed as a plus rather than a mandatory qualification.
Skills Candidates Should Highlight
Applicants preparing their resume for this role should make relevant practical experience easy to identify. Particularly useful areas include:
- Python-based ML development
- PyTorch or TensorFlow projects
- Multi-agent AI projects
- MCP integrations
- Agentic coding workflows
- AI agents and tool calling
- Model deployment
- MLOps projects
- Linux and Bash
- SQL
- Git
- Machine learning experimentation and evaluation
- Finance or quantitative projects, if applicable
Candidates should focus on demonstrable hands-on work, especially because the job description emphasizes practical experience with agentic AI and deployed machine learning systems.
Location and Work Arrangement
The position is based in Gurgaon and requires availability for an in-office six-month internship beginning in January 2027.
The broader company description mentions hybrid working opportunities as part of Tower’s benefits. However, for this specific internship, the qualification section explicitly states that candidates must be available for an in-office internship. Therefore, applicants should treat the role-specific in-office requirement as the relevant condition.
Salary and Stipend
The supplied job description does not specify the internship stipend or salary for this AI/ML position.
Candidates should check the official application or recruitment communication for compensation details if they are provided separately.
Selection Process
The supplied job description does not provide a detailed selection process or specify the number of interview rounds.
Therefore, candidates should not assume a particular sequence of:
- Online tests
- Technical interviews
- HR interviews
- Coding assessments
- Other selection stages
unless Tower provides those details separately during recruitment.
About Tower Research Capital
Tower Research Capital is a global organization focused on systematic trading and engineering. Its technology teams work on areas including low-latency programming, FPGA technology, hardware acceleration, and machine learning.
The company states that it has offices around the world and emphasizes a results-oriented environment where employees work collaboratively without unnecessary hierarchy.
The company also lists benefits such as paid time off, financial wellness programs, meals and snacks, wellness initiatives, sports and fitness activities, volunteer opportunities, social events, and continuous learning opportunities. Availability of individual benefits may vary by region and employment arrangement.
Important Points Before Applying
- The position is Intern – AI/ML at Tower Research Capital.
- The role is based in Gurgaon.
- The internship is for six months.
- The expected start is January 2027.
- The role requires an in-office internship.
- Bachelor’s, Master’s, or PhD candidates/graduates can be eligible.
- Strong Python skills are required.
- Candidates need hands-on experience with TensorFlow, PyTorch, or similar frameworks.
- Modern agentic AI expertise is explicitly required.
- Experience with multi-agent systems, MCP, agentic coding assistants, or similar technologies is highly relevant.
- MLOps knowledge is required.
- Linux, SQL, Git, and Bash experience is expected.
- Finance experience is an advantage.
- The stipend/salary is not specified in the supplied job description.
- The selection process is not specified in the supplied information.
Frequently Asked Questions
What is the position at Tower Research Capital?
The opening is for an Intern – AI/ML position.
Where is the Tower AI/ML internship located?
The position is based in Gurgaon, India.
When does the internship start?
The job description states that the six-month internship starts in January 2027.
Is the Tower AI/ML internship remote?
The supplied qualification criteria require candidates to be available for an in-office internship. Therefore, applicants should be prepared to work from the Gurgaon office.
What degree is required?
Candidates with an ongoing or completed Bachelor’s, Master’s, or PhD degree, or an equivalent qualification, can be considered.
Is experience with agentic AI required?
Yes. The job description explicitly states that expertise in modern agentic AI tooling is required, including agentic coding assistants, multi-agent systems, and integrations involving technologies such as MCP or agent skills.
Which machine learning frameworks are required?
Experience training, building, and deploying models with TensorFlow, PyTorch, or similar frameworks is required.
Is MLOps knowledge necessary?
Yes. Familiarity with MLOps practices for model deployment, productionization, and lifecycle management is listed as a qualification.
Is finance experience mandatory?
No. A finance background or experience is described as a plus, not a mandatory requirement.
What is the stipend for this internship?
The supplied job description does not mention a stipend or compensation amount.