Data Scientist Leader

4 days ago

Vadodara, Gujarat, India beBeeMachineLearning Full time ₹ 18,00,000 - ₹ 25,12,000

About Our Machine Learning Engineering Role

We are seeking an experienced and skilled engineer to lead the development and deployment of machine learning solutions across our organization. The ideal candidate will possess a deep understanding of ML algorithms, cloud platforms (Azure), large language models (LLMs), and strong engineering practices.

Key Responsibilities:

  • Crafting AI/ML Systems: Design and develop scalable AI/ML systems that integrate advanced AI solutions into enterprise workflows.
  • MLOps Expertise: Architect and implement MLOps pipelines using Azure ML, Azure Databricks, MLflow, and CI/CD workflows.
  • LLM Solutions: Develop LLM-based solutions, including Retrieval-Augmented Generation (RAG) and prompt engineering for enterprise use cases.
  • Collaboration: Collaborate with product managers, data engineers, and business stakeholders to align AI solutions with organizational goals.
  • Code Quality: Apply software engineering and design principles to ensure reusable, testable, and maintainable ML code.
  • Industry Knowledge: Stay up-to-date with advancements in AI/ML, especially in Generative AI, Agentic AI, and LLMs, and evaluate them for practical application.

Requirements:

  • 8+ years of experience in Machine Learning, Software Development, and Data Analytics.
  • Proficient in Python, SQL, and C#, with a strong background in software engineering.
  • Hands-on experience with Azure ecosystem (Azure ML, Azure Data Factory, Azure Functions).
  • Strong experience in Azure Databricks, Spark, and distributed data processing.
  • Expertise in LLM integration, RAG pipelines, and prompt engineering for generative AI applications.

About Our Organization

  • We offer a competitive salary, work-life balance, professional development opportunities, and a collaborative work environment.

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