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3 дня назад

Intern - AI/ML

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US/India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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