Data scientist

Daimler Trucks North America LLC; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Daimler AG (Canada) is seeking a Data Scientist to design scalable applications utilizing Generative AI technologies. This role involves optimizing RAG pipelines and deploying AI solutions on Azure.

The ideal candidate will have 2–6 years of experience, expertise in Python, and familiarity with cloud technologies. Join our team at the Mercedes-Benz Research & Development India in Bangalore.

Qualifications

• Hands-on experience with LLMs (e.g., GPT, Llama), VLMs, and RAG architecture.
• Strong proficiency in Python, including frameworks like FastAPI and PySpark.
• Experience deploying applications on Azure, including Azure Functions and App Services.

Responsibilities

• Design and develop scalable applications leveraging Generative AI technologies.
• Build and optimize RAG pipelines using LLMs and VLMs.
• Collaborate with teams to deploy AI solutions on Azure.

Skills

GenAI Expertise

Python proficiency

Cloud & DevOps

Database & Retrieval

Software Engineering

Job description

Job Description - Data Scientist (MER000431U)

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.

Qualifications:

• Experience: 2–6 years.
• Location: Bangalore.
• Employment Type: Full‑time.
• Staff Level: T8/T9.

Organization

Mercedes-Benz Research & Development India Private Limited

Primary Location: India‑Karnataka‑Bangalore

Work Locations: Mercedes‑Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066