Tower Research Intern AI/ML Hiring Freshers 2026
Tower Research Intern – AI/ML Hiring Freshers 2026
Introduction
Tower Research is hiring an Intern – AI/ML in Gurgaon for candidates interested in artificial intelligence, machine learning, agentic AI, and MLOps. The internship is designed for candidates who can work in an office environment for six months starting January 2027.
The role combines AI/ML model development, multi-agent systems, agentic coding tools, MLOps, Python, Linux, SQL, Git, and Bash scripting. Interns will work on technical problems involving machine learning models, AI agents, automation, model deployment, and performance optimization.
This opportunity can be particularly relevant for students and recent graduates building careers in machine learning engineering, generative AI, AI engineering, MLOps, and quantitative technology. Candidates with a strong technical foundation and hands-on project experience should consider applying through the official Tower Research careers portal.
Quick Job Snapshot
| Company Name | Tower Research |
|---|---|
| Role | Intern – AI/ML |
| Qualification | Bachelor’s, Master’s, or PhD degree (ongoing or completed), or equivalent qualification |
| Eligible Batch | Not specified by the company. |
| Experience | Not specified by the company. |
| Location | Gurgaon, Haryana, India |
| Work Mode | In-office internship |
| Internship Duration | Six months |
| Expected Start | January 2027 |
| Salary/Stipend | Not specified by the company. |
About the Role
As an AI/ML Intern at Tower Research, candidates will contribute to projects involving modern artificial intelligence and machine learning technologies. The work includes building and evaluating multi-agent systems, working with agent orchestration and tool-calling, and integrating AI agents with protocols and frameworks such as Model Context Protocol (MCP) and agent skills.
The role also involves using agentic coding assistants such as Claude Code or similar tools to accelerate software development, automate workflows, and create internal tools. Candidates will also work with statistical and machine learning algorithms to address business and technical requirements.
Another important part of the position is MLOps. Interns may contribute to deploying, monitoring, maintaining, and improving machine learning models in production environments. Model performance analysis, experimentation, testing, optimization, and fine-tuning are also part of the responsibilities.
Candidates looking to strengthen their AI skills can also explore our guide to highest-paying skills in 2026 and identify relevant areas for further learning.
Key Responsibilities
- Build and evaluate multi-agent AI systems.
- Work on agent orchestration and tool-calling capabilities.
- Integrate AI agents with frameworks and protocols such as MCP.
- Use agentic coding tools such as Claude Code or similar solutions.
- Develop internal tooling and automate technical workflows.
- Implement statistical and machine learning algorithms and models.
- Contribute to MLOps activities for machine learning systems.
- Support model deployment and productionization.
- Monitor machine learning models and contribute to lifecycle management.
- Analyze model performance through experiments and testing.
- Help optimize and fine-tune existing machine learning models.
Qualification Requirements
- Bachelor’s, Master’s, or PhD degree, ongoing or completed, or an equivalent qualification.
- Availability to join an in-office internship for six months starting January 2027.
- Strong knowledge of Python.
- Hands-on experience with Linux, SQL, Git, and Bash scripting.
- Experience building, training, and deploying machine learning models.
- Experience with TensorFlow, PyTorch, or similar machine learning frameworks.
- Knowledge of modern agentic AI tooling.
- Experience with multi-agent systems and related AI frameworks or protocols.
- Familiarity with MLOps practices and machine learning lifecycle management.
- A finance background or finance-domain experience is an advantage.
Skills to Highlight in Your Resume
- Python
- Machine Learning
- Artificial Intelligence
- Generative AI
- Agentic AI
- Multi-agent systems
- Model Context Protocol (MCP)
- Claude Code or similar AI coding assistants
- TensorFlow
- PyTorch
- MLOps
- SQL
- Linux
- Git
- Bash scripting
- Model deployment
- Machine learning model optimization
AI/ML candidates can also prepare for technical interviews by reviewing practical questions around data science and machine learning. Our Data Science interview questions for freshers can be useful for interview preparation.
Why Consider This Opportunity?
This internship offers exposure to advanced areas of AI engineering, machine learning, agentic AI, and MLOps. Instead of focusing only on theoretical concepts, the role involves practical work around AI agents, machine learning models, deployment, testing, and optimization.
The position can be valuable for candidates targeting careers in machine learning engineering, AI software development, MLOps, or technology roles connected with systematic trading. Tower Research also describes an environment where engineering and research teams work on challenging technology problems.
The company lists continuous learning opportunities among its benefits. Candidates can use this internship to gain experience with production-oriented AI workflows and strengthen their technical profile.
How to Apply
Interested candidates should apply through the official Tower Research application portal. Before applying, make sure your resume clearly presents relevant AI/ML projects, programming experience, and hands-on work with machine learning frameworks and development tools.
- Open the official Tower Research application link.
- Review the Intern – AI/ML position details carefully.
- Prepare an updated resume highlighting Python, machine learning, AI agents, MLOps, and relevant projects.
- Include practical experience with TensorFlow, PyTorch, Linux, SQL, Git, and Bash where applicable.
- Mention multi-agent systems, MCP, agentic AI tools, or AI coding assistants if you have genuine hands-on experience.
- Submit your application through the official careers portal.
- Ensure you are available for the required six-month in-office internship starting January 2027.
Frequently Asked Questions (FAQs)
1. Who is eligible for the Tower Research AI/ML internship?
Candidates pursuing or holding a Bachelor’s, Master’s, or PhD degree, or an equivalent qualification, can apply. The company also requires availability for a six-month in-office internship starting January 2027.
2. Is the Tower Research AI/ML internship suitable for freshers?
The role is an internship and does not specify a minimum professional experience requirement. Students and early-career candidates with the required AI/ML skills and academic background can consider applying.
3. What technical skills are required?
The position requires strong Python skills, experience with machine learning frameworks such as TensorFlow or PyTorch, and hands-on knowledge of Linux, SQL, Git, and Bash. Modern agentic AI tooling and MLOps experience are also required.
4. Is the internship work from home or office-based?
The listing specifically states that candidates must be available for an in-office internship in Gurgaon for six months starting January 2027.
5. What is the salary or stipend for the Tower Research internship?
The provided job description does not mention a salary or internship stipend. Therefore, the compensation is Not specified by the company.
Conclusion
The Tower Research Intern – AI/ML opportunity in Gurgaon is a strong option for candidates interested in machine learning, agentic AI, MLOps, and AI engineering. Applicants should ensure they meet the technical requirements, particularly around Python, machine learning frameworks, AI agents, and MLOps, before submitting their application through the official Tower Research careers portal.
