ML Engineer / Data Scientist
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Role details
Tech stack
Job description
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Work with PM. Bring in requirement , turn into tech solution, run experiments to see if it works, then push into production.
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Work on building ML/AI models, building out new AI features, deploying all into cloud environment/production.
Requirements
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Strong software engineering fundamentals background in their past (preferably in Python).
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Strong experience building and deploying ML/AI models.
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Strong Python Building AI features, deploy, push into production
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RAG agentic architecture: Agentic workflows
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Designing, building, orchestrating agents. How do they work together.
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When user asks a question, how do you distribute it?
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Understanding of multi-agent workflows.
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Know when things go wrong, how to fix it.
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LLM experience
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Convert technical into non-technical audience.
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Prepare application
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