Data Scientist

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 such as GPT and Llama, VLMs, and RAG architecture.
• Programming: Strong proficiency in Python, including frameworks such as FastAPI and LangChain or similar, plus solid PySpark skills for processing big data.
• Cloud and DevOps: Experience deploying and managing applications on Azure, including Azure Functions, App Services, and Azure AI services.
• Database and Retrieval: Familiarity with vector databases such as ChromaDB and Pinecone and efficient data retrieval techniques.
• Software Engineering: Understanding of software development lifecycles, Git, and CI/CD pipelines.

Qualifications

• 2–6 years of experience
• Location: Bangalore
• Employment type: Full-time
• Staff level: T8/T9

Benefits

Employee discounts, possible health benefits, mobile phone benefits, possible meal discounts, company retirement benefits, possible hybrid work, mobility offers, employee events, coaching, flextime, possible parking, in-house doctor, good public transport, barrier-free workplace, near-site childcare, and canteen or café.

Contact

Mercedes-Benz Research and Development India Private Limited
Brigade Tech Gardens, Katha No. 119560037, Bengaluru
Cyril Jacob: CYJACOB@invalid.com