Tower Research Capital Hiring – Intern – AI/ML Opportunity
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Tower Research Capital Hiring – Intern – AI/ML Opportunity
Tower Research Capital is hiring for the position of Intern – AI/ML in Gurgaon, India. This is a 6-month in-office internship starting in January 2027.
The opportunity is suitable for candidates with strong experience in Artificial Intelligence, Machine Learning, Agentic AI, Multi-Agent Systems, Agent Orchestration, Model Context Protocol (MCP), and modern AI development tools.
Candidates should also have hands-on experience building, training, deploying, and monitoring machine learning models using technologies such as Python, TensorFlow, PyTorch, and MLOps tools.
About Tower Research Capital
Tower Research Capital is a quantitative trading and technology company that develops technology-driven solutions for financial markets. Its teams work across quantitative research, software engineering, machine learning, and financial technology.
Job Details
Company Name: Tower Research Capital
Position: Intern – AI/ML
Job Type: Internship – In-Office
Duration: 6 Months
Location: Gurgaon, India
Start Date: January 2027
Qualification: Bachelor’s, Master’s, or PhD degree (ongoing or completed), or equivalent qualification
Experience: Hands-on experience with modern Agentic AI tooling and Machine Learning
Salary / Stipend: Not Disclosed
Eligibility Criteria
- Bachelor’s, Master’s, or PhD degree, either ongoing or completed, or an equivalent qualification.
- Degree or equivalent qualification from a top university.
- Availability for a 6-month in-office internship starting January 2027.
- Expertise in modern Agentic AI tooling is required.
- Experience building multi-agent systems.
- Experience integrating Model Context Protocol (MCP) or similar protocols and frameworks.
- Experience training, building, and deploying Machine Learning models.
- Experience with TensorFlow, PyTorch, or similar Machine Learning frameworks.
- Familiarity with MLOps and production Machine Learning lifecycle management.
- Strong Python programming skills.
- Hands-on experience with Linux, SQL, Git, and Bash.
- Knowledge of statistical and Machine Learning algorithms.
- Understanding of model optimization and fine-tuning.
- Finance domain experience is a plus.
Job Description
Tower Research Capital is looking for an Intern – AI/ML to work on advanced Artificial Intelligence and Machine Learning technologies. The role focuses on modern Agentic AI, multi-agent systems, AI tooling, Machine Learning model development, deployment, and lifecycle management.
The selected candidate will work with AI and ML systems and may contribute to building agentic workflows, integrating tools and protocols, developing and deploying Machine Learning models, and improving production ML systems.
Key Responsibilities
- Build and develop Artificial Intelligence and Machine Learning solutions.
- Work with modern Agentic AI technologies and tooling.
- Design and develop multi-agent systems.
- Implement agent orchestration workflows.
- Work with tool calling and AI agent capabilities.
- Integrate Model Context Protocol (MCP) or similar protocols and frameworks.
- Develop and work with Agent Skills.
- Use AI coding assistants such as Claude Code where appropriate.
- Train and develop Machine Learning models.
- Deploy Machine Learning models into production environments.
- Work with TensorFlow, PyTorch, or similar frameworks.
- Support MLOps and Machine Learning lifecycle management.
- Monitor Machine Learning models and production systems.
- Optimize and fine-tune Machine Learning models.
- Work with statistical and Machine Learning algorithms.
- Develop Python-based AI and ML solutions.
- Work with Linux, SQL, Git, and Bash scripting.
- Collaborate with technical and research teams.
Key Skills Required
- Artificial Intelligence
- Machine Learning
- Agentic AI
- Multi-Agent Systems
- Agent Orchestration
- Tool Calling
- Model Context Protocol (MCP)
- Agent Skills
- Claude Code / AI Coding Assistants
- Python
- TensorFlow
- PyTorch
- MLOps
- Machine Learning Model Deployment
- Model Monitoring
- ML Lifecycle Management
- Linux
- SQL
- Git
- Bash Scripting
- Statistical Algorithms
- Machine Learning Algorithms
- Model Optimization
- Model Fine-Tuning
Preferred / Bonus Skills
- Strong experience with modern Agentic AI frameworks and tooling.
- Hands-on experience building multi-agent applications.
- Experience with MCP or similar agent protocols.
- Experience deploying Machine Learning models to production.
- Knowledge of MLOps practices.
- Experience with model monitoring and lifecycle management.
- Strong understanding of statistical and Machine Learning algorithms.
- Experience with model optimization and fine-tuning.
- Experience with AI-assisted software development.
- Finance or quantitative finance domain experience.
- Strong analytical and problem-solving abilities.
Internship Details
Duration: 6 Months
Start Date: January 2027
Work Mode: In-Office
Location: Gurgaon, India
Candidates must be available to complete the full 6-month in-office internship beginning in January 2027.
Selection Process
- Online Application
- Resume Screening
- Technical Assessment / Screening
- Technical Interview
- Additional Technical / Team Discussion
- Final Selection
The actual selection process may vary depending on Tower Research Capital's recruitment requirements.
Why Apply?
- Opportunity to work on advanced AI and Machine Learning technologies.
- Gain hands-on experience with Agentic AI.
- Work with multi-agent systems and agent orchestration.
- Gain exposure to Model Context Protocol (MCP).
- Work with modern AI coding assistants and development tools.
- Develop practical experience with Python, TensorFlow, and PyTorch.
- Gain exposure to MLOps and production ML systems.
- Learn Machine Learning model deployment and monitoring.
- Develop expertise in model optimization and fine-tuning.
- Work with Linux, SQL, Git, and Bash.
- Gain exposure to technology used in financial markets.
- Work in a technology-focused quantitative trading environment.
Who Should Apply?
- Bachelor’s students or graduates with strong AI/ML skills.
- Master’s students or graduates specializing in AI or Machine Learning.
- PhD students or graduates with relevant AI/ML experience.
- Candidates with strong Python programming skills.
- Candidates experienced with TensorFlow or PyTorch.
- Candidates with experience building multi-agent systems.
- Candidates with Agentic AI development experience.
- Candidates familiar with MCP or similar protocols.
- Candidates with MLOps and production ML experience.
- Candidates with strong Linux, SQL, Git, and Bash skills.
- Candidates interested in AI/ML applications in finance and quantitative technology.
How to Apply?
Interested and eligible candidates can apply through the official Tower Research Capital application portal using the application link provided above.
Candidates should review the official job posting and verify the latest eligibility criteria, internship requirements, start date, work mode, and application details before applying.
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Disclaimer
The recruitment details are based on the provided Tower Research Capital job information. Candidates should verify the latest eligibility criteria, internship requirements, start date, work mode, and application details on the official Tower Research Capital careers portal before applying.
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Tower Research Capital Hiring 2026 | AI/ML Intern | Gurgaon | January 2027
Meta Description
Tower Research Capital Hiring 2026 for Intern – AI/ML in Gurgaon. 6-month in-office internship starting January 2027 for candidates skilled in Agentic AI, multi-agent systems, MCP, Python, PyTorch, TensorFlow, and MLOps.
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