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Home / Intern – Machine Learning

Intern – Machine Learning

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Goodlight AI

Goodlight AI is building intelligent agents that automate complex workflows across retail, data, and enterprise systems. We’re looking for a Machine Learning Intern who is excited about applied AI—someone who wants to go beyond models and help ship real, production-grade agent systems.

This role is ideal for someone who enjoys working across the stack: from data pipelines and model experimentation to integrating LLMs into live products.

What you’ll do

  • Build and experiment with ML models and LLM-powered systems (classification, embeddings, retrieval, agents).

  • Work on real-world use cases such as retail personalization, workflow automation, and customer intelligence.

  • Design and improve prompt pipelines, evaluation frameworks, and agent behaviors.

  • Collaborate on data pipelines: ingestion, cleaning, feature engineering, and analysis.

  • Prototype and ship features quickly in a production environment.

  • Contribute to internal tooling for model monitoring, evaluation, and iteration.

What we’re looking for

  • Strong fundamentals in machine learning and statistics.

  • Hands-on experience with Python and ML libraries (e.g., PyTorch, scikit-learn).

  • Familiarity with LLMs, embeddings, vector databases, or agent frameworks is a strong plus.

  • Comfort working with APIs and integrating ML into applications.

  • Ability to move fast, experiment, and learn independently.

  • Clear thinking and ability to translate messy problems into structured solutions.

Bonus points

  • Experience building AI agents or working with tools like LangChain, OpenAI APIs, etc.

  • Exposure to retail, ecommerce, or customer data problems.

  • Experience with data engineering (SQL, pipelines, ETL).

  • Side projects or demos showcasing applied ML work.

What you’ll get

  • Direct exposure to building cutting-edge AI agents and production systems.

  • Opportunity to work closely with the founding team on high-impact problems.

  • Ownership of real features that go live to users.

  • Fast learning environment with high autonomy.

Logistics

  • Location: Remote

  • Duration: 3–6 months

  • Potential for full-time conversion based on performance

Salary: 20K – 30K INR a month

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

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