Tower Research Capital Hiring 2026 | Intern – AI/ML | Gurgaon | Apply Now
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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, Haryana. This opportunity is suitable for candidates with an ongoing or completed Bachelor’s, Master’s, or PhD degree or an equivalent qualification, along with strong experience in Artificial Intelligence, Machine Learning, Agentic AI, Multi-Agent Systems, and modern AI tooling.
The internship provides an opportunity to work on advanced AI and machine learning technologies, including agent orchestration, tool calling, Model Context Protocol (MCP), agent skills, machine learning model development, MLOps, model deployment, optimization, and production systems.
About Tower Research Capital
Tower Research Capital is a global quantitative trading firm that develops technology, trading strategies, and research systems for financial markets. The company works across quantitative research, software engineering, data, and advanced technology.
Job Details
Company Name: Tower Research Capital
Position: Intern – AI/ML
Job Type: Internship / Full-Time
Location: Gurgaon, Haryana, India
Work Mode: In-Office
Experience: Entry Level / Internship
Qualification: Bachelor’s, Master’s, or PhD degree (ongoing or completed), or equivalent qualification
Internship Duration: 6 Months
Start Date: January 2027
Salary / Stipend: Not Disclosed
Selection Process: Not Specified
Eligibility Criteria
- Bachelor’s, Master’s, or PhD degree, either ongoing or completed, or equivalent qualification.
- Degree or equivalent qualification from a top university.
- Must be available for a 6-month in-office internship starting January 2027.
- Expertise in modern Agentic AI tooling is required.
- Experience with agentic coding assistants such as Claude Code or similar tools.
- Experience building multi-agent systems.
- Experience integrating Model Context Protocol (MCP) or agent skills.
- Experience training, building, and deploying machine learning models.
- Experience with TensorFlow, PyTorch, or similar machine learning frameworks.
- Familiarity with MLOps practices.
- Strong Python programming skills.
- Hands-on experience with Linux, SQL, Git, and Bash.
- Finance-domain experience is an additional advantage.
Job Description
Tower Research Capital is looking for an AI/ML Intern to work on advanced artificial intelligence and machine learning initiatives. The role focuses on modern agentic AI technologies, machine learning model development, deployment, experimentation, and productionization.
The selected candidate will work with technologies such as multi-agent systems, agent orchestration, tool calling, MCP, agent skills, AI coding assistants, TensorFlow, PyTorch, MLOps, Python, Linux, SQL, Git, and Bash.
The internship may involve developing and optimizing machine learning models, integrating AI agents with tools and systems, deploying models into production environments, monitoring model performance, and conducting testing and experimentation.
Key Responsibilities
- Develop and experiment with Artificial Intelligence and Machine Learning solutions.
- Build and work with modern agentic AI systems.
- Develop and integrate multi-agent systems.
- Implement agent orchestration workflows.
- Work with tool calling and AI agent integrations.
- Integrate Model Context Protocol (MCP) and agent skills.
- Work with agentic coding assistants such as Claude Code or similar tools.
- Train and develop machine learning models.
- Work with TensorFlow, PyTorch, or similar machine learning frameworks.
- Develop and implement statistical and machine learning algorithms.
- Apply MLOps practices to machine learning workflows.
- Deploy and productionize machine learning models.
- Monitor model performance and production systems.
- Optimize and fine-tune machine learning models.
- Perform testing and experimentation on AI/ML solutions.
- Work with Python-based machine learning and AI applications.
- Use Linux, SQL, Git, and Bash in development environments.
- Collaborate with technical and research teams on AI/ML projects.
Key Skills Required
- Artificial Intelligence
- Machine Learning
- Agentic AI
- Multi-Agent Systems
- Agent Orchestration
- Tool Calling
- Model Context Protocol (MCP)
- Agent Skills
- Claude Code / Agentic Coding Assistants
- Machine Learning Model Development
- TensorFlow
- PyTorch
- MLOps
- Python
- Linux
- SQL
- Git
- Bash Scripting
- Statistical Algorithms
- Machine Learning Algorithms
- Model Deployment
- Model Productionization
- Model Monitoring
- Model Optimization
- Model Fine-Tuning
- Testing
- Experimentation
Preferred / Additional Skills
- Strong understanding of modern agentic AI architectures.
- Hands-on experience developing multi-agent applications.
- Experience integrating AI agents with external tools and systems.
- Knowledge of MCP and agent skill frameworks.
- Experience using agentic coding assistants.
- Strong machine learning model development experience.
- Experience with ML model deployment and production environments.
- Knowledge of MLOps workflows.
- Strong Python programming and scripting skills.
- Experience with Linux-based development environments.
- Strong statistical and analytical skills.
- Finance-domain knowledge or experience is a plus.
Technology & Tools
- AI/ML: Artificial Intelligence, Machine Learning, Agentic AI
- AI Agents: Multi-Agent Systems, Agent Orchestration, Tool Calling, MCP, Agent Skills
- AI Coding: Claude Code and similar Agentic Coding Assistants
- ML Frameworks: TensorFlow, PyTorch
- Programming: Python, Bash
- Operating System: Linux
- Database / Query: SQL
- Version Control: Git
- MLOps: Model Deployment, Productionization, Monitoring, Optimization, Fine-Tuning
- Algorithms: Statistical and Machine Learning Algorithms
Internship Duration & Start Date
The internship is for a duration of 6 months and is scheduled to begin in January 2027.
Candidates must be available to work in-office in Gurgaon for the duration of the internship.
Selection Process
The job posting does not specify the exact selection rounds for this internship.
Candidates should check the official application portal for any additional information regarding assessments, interviews, or other stages of the recruitment process.
Salary / Stipend
The salary or internship stipend is not disclosed in the job posting.
Candidates should refer to the official job posting or recruitment team for the latest compensation information.
Why Apply?
- Opportunity to work on advanced Artificial Intelligence and Machine Learning technologies.
- Gain practical experience with Agentic AI.
- Work with multi-agent systems and agent orchestration.
- Gain exposure to Model Context Protocol (MCP) and agent skills.
- Work with modern agentic coding assistants.
- Develop practical machine learning models using TensorFlow and PyTorch.
- Gain experience with MLOps and model productionization.
- Learn about model deployment, monitoring, optimization, and fine-tuning.
- Strengthen Python, Linux, SQL, Git, and Bash skills.
- Gain experience with advanced AI/ML experimentation and testing.
- Work in an in-office professional technology environment.
- Gain exposure to technology used in quantitative finance and financial markets.
Who Should Apply?
- Computer Science students and graduates.
- Artificial Intelligence and Machine Learning students.
- Data Science students and professionals.
- Engineering students with strong AI/ML skills.
- Candidates pursuing or holding Bachelor’s, Master’s, or PhD degrees.
- Candidates with hands-on Agentic AI experience.
- Candidates experienced in multi-agent systems.
- Candidates with experience using MCP or agent skills.
- Candidates experienced with TensorFlow or PyTorch.
- Candidates with MLOps and model deployment experience.
- Python developers with strong machine learning knowledge.
- Candidates interested in AI/ML applications in finance.
Important Requirements
- Must have an ongoing or completed Bachelor’s, Master’s, or PhD degree, or equivalent qualification.
- Must be available for the full 6-month internship.
- Internship starts in January 2027.
- The internship is in-office in Gurgaon.
- Modern Agentic AI tooling expertise is required.
- Hands-on experience with agentic coding assistants is required.
- Experience building multi-agent systems and integrating MCP or agent skills is required.
- Strong machine learning and Python skills are required.
How to Apply?
Interested and eligible candidates can apply through the official Tower Research Capital job application portal using the application link provided above.
Candidates should carefully review the complete job description and eligibility requirements before submitting their application.
Applicants should ensure that their resume highlights relevant experience in Agentic AI, Multi-Agent Systems, Machine Learning, Python, MLOps, TensorFlow, PyTorch, and AI/ML model deployment.
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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 duration, start date, compensation, selection process, work location, and application details on the official job posting before applying.
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Tower Research Capital Hiring 2026 | AI/ML Intern | Gurgaon | 6-Month Internship
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Tower Research Capital Hiring 2026 for AI/ML Intern in Gurgaon. 6-month in-office internship starting January 2027 for candidates skilled in Agentic AI, ML, Python, MCP, TensorFlow, PyTorch and MLOps.
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