Mercedes-Benz

Data scientist

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Experience\: 2–6 years
Location\: Bangalore
Employment Type\: Full-time
Staff Level\: T8/T9

Responsibilities\:

  • Design and develop scalable applications leveraging Generative AI technologies for software process automation and intelligent data retrieval.
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and VLMs to enhance chatbot capabilities and contextual understanding.
  • Collaborate with cross-functional teams to deploy AI-powered solutions on Azure cloud infrastructure.
  • Integrate Python-based backend services with cloud-native tools for seamless deployment and monitoring.
  • Continuously evaluate and improve application performance, security, and reliability in production environments.

Required Skillsets\:

  • GenAI Expertise\: Hands-on experience with LLMs (e.g., GPT, LLama), VLMs, and RAG architecture.
  • Programming\: Strong proficiency in Python, including frameworks like FastAPI, LangChain, or similar. Need solid skills using Pyspark for processing big data (efficient data transformations)
  • Cloud & DevOps\: Experience deploying and managing applications on Azure, including Azure Functions, App Services, and Azure AI services.
  • Database & Retrieval\: Familiarity with vector databases (e.g., ChromaDB, Pinecone) and efficient data retrieval techniques.
  • Software Engineering\: Solid understanding of software development lifecycles, version control (Git), and CI/CD pipelines.