Senior Data Scientist and Engineering Lead

2 weeks ago

Pune, Maharashtra, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior Machine Learning Engineer

We are looking for a senior engineer with 7+ years of experience who can blend deep machine learning expertise with hands-on experience in generative AI systems.

The ideal candidate should have advanced programming proficiency in Python and SQL, strong expertise in LangChain/LangGraph, and proven ability to set and guide a technical roadmap for engineering teams.

Key Responsibilities:
  • Design and Deploy LLM Solutions: Develop large language model–based systems using advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent frameworks.
  • Take Ownership of the Codebase: Deliver production-grade, reusable, and scalable code that meets the highest standards of quality and efficiency.
  • Cloud Deployment: Architect and optimize deployment pipelines on cloud platforms (Azure, AWS, or GCP) making sure CI/CD, scalability, and cost-efficiency are always considered.
  • Collaborate Across Functions: Translate complex technical concepts into actionable insights for product owners, data scientists, and domain SMEs.
  • Lead and Mentor: Provide technical leadership, coach junior team members, and foster a culture of best practices in machine learning and LLM engineering.
  • Stay Ahead of the Curve: Continuously experiment with new research, tools, and methods in generative AI to keep our solutions cutting-edge.

Requirements:

  • 5+ years of professional experience in developing and deploying ML models in production environments.
  • At least 1 year of practical experience working with large language models and generative AI, including prompt design, RAG pipelines, and AI agents.
  • Proven ability to set and guide a technical roadmap for engineering teams.
  • Advanced programming proficiency in Python and SQL with strong expertise in LangChain/LangGraph.
  • Familiarity with cloud ecosystems (Azure, AWS, or GCP) and modern DevOps practices.
  • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.

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