Build, train, and deploy ML models to improve product performance.
Collaborate with data, product, and engineering teams on internal initiatives.
Design and implement data pipelines for extraction, transformation, and analysis.
Apply statistics and machine learning to real-world business problems.
Work on LLMs and Generative AI projects.
Analyze large datasets to identify trends and insights.

🎯 Requirements

3+ years of hands-on ML engineering or data science.
5+ years total experience in software or data engineering.
Strong Python programming skills.
Proficiency in SQL for data querying and analysis.
Experience with LLMs/Generative AI tools (OpenAI, Copilot, Cursor).
Ability to build and deploy ML models end-to-end.

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