Tower Research Campus Drive 2026 Hiring AI/ML Intern

CyberTecz; Gurugram District; On-site; INR 335,000 - 670,000; Full time

Job summary

Tower Research is offering an AI/ML Intern position in Gurgaon, India, aimed at students and early-career professionals seeking hands-on experience with cutting-edge AI projects.

The role focuses on building multi-agent systems, implementing agentic tooling, and deploying ML models while learning from seasoned experts in a fast-paced research environment. This six-month, in-office internship starts January 2027.

Qualifications

• Bachelor’s, Master’s, PhD (ongoing or completed) from a top university; six-month in-office internship starting January 2027.
• Experience with agentic AI tooling and multi-agent systems; knowledge of MCP or similar protocols.
• Experience training ML models with TensorFlow or PyTorch; familiarity with MLOps.
• Strong Python skills; Linux, SQL, Git, and Bash scripting.
• Finance domain background is a plus.

Responsibilities

• Build and evaluate multi-agent systems with orchestration and MCP integration.
• Implement agentic coding tools like Claude Code to speed development.
• Develop and implement ML algorithms to support business and technical requirements.
• Contribute to MLOps for deployment, monitoring, and maintenance of models.
• Analyze model performance and optimize/fine-tune models.

Skills

Python

Linux

SQL

Git

Bash

TensorFlow

PyTorch

MLOps

Education

Bachelor/Master/PhD degree

Tools

Claude Code

Model Context Protocol

Job description

Tower Research Campus Drive 2026 Hiring AI/ML Intern

Tower Research Campus Drive 2026 is a great opportunity for students and aspiring AI/ML professionals looking to gain industry experience as an AI/ML Intern. Selected candidates can get the opportunity to work on challenging technology and machine learning projects while learning from experienced professionals. Interested candidates should check the eligibility criteria, required skills, job responsibilities, and application process before applying.

• Designation: AI/ML Intern
• Company: Tower Research
• Educational Qualification: B.E/B.Tech/M.E/M.Tech/PhD
• Experience Required: Freshers
• Location: Gurgaon, India
• Compensation:Best in Industry

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.

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.

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well‑stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.