3 дня назад
Intern - AI/ML
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern - AI/ML (Agentic AI/Machine Learning): Building and evaluating multi-agent systems, agentic coding tools, and machine learning models for trading and business applications with an accent on agent orchestration, tool-calling, and MLOps. Focus on integrating MCP-based frameworks, deploying models to production, analyzing performance, and fine-tuning existing systems.
Location: Gurgaon, India; in-office internship for six months starting January 2027
Company
develops systematic trading strategies and electronic trading infrastructure, including low-latency systems, hardware acceleration, and machine learning platforms.
What you will do
- Build and evaluate multi-agent systems with agent orchestration, tool-calling, Model Context Protocol (MCP), and agent skills.
- Implement agentic coding tools such as Claude Code to accelerate development, automate workflows, and create internal tooling.
- Develop and implement statistical and machine learning algorithms and models for business and technical requirements.
- Contribute to MLOps practices for deploying, monitoring, and maintaining production machine learning models.
- Analyze model performance through experiments and testing, and optimize and fine-tune existing models.
Requirements
- Ongoing or completed bachelor's, master's, or PhD degree, or equivalent qualification, from a top university.
- Availability for a six-month in-office internship starting January 2027.
- Expertise in modern agentic AI tooling is required, including agentic coding assistants such as Claude Code or similar, multi-agent systems, and MCP or agent skills.
- Experience training, building, and deploying machine learning models with TensorFlow, PyTorch, or similar frameworks.
- Familiarity with MLOps, plus strong Python skills and hands-on experience with Linux, SQL, Git, and Bash scripting.
Nice to have
- Background in or experience with the finance domain.
Culture & Benefits
- Generous paid time off policies.
- Savings plans and financial wellness tools available in each region.
- Hybrid working opportunities for eligible work arrangements.
- Free breakfast, lunch, and snacks daily.
- Wellness experiences, select wellness expense reimbursement, sports teams, and fitness events.
- Volunteer opportunities, charitable giving, social events, workshops, and continuous learning opportunities.
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