Applied Data Scientist

5 years

3 - 8 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Tätigkeitsbereich:Forschung & Entwicklung incl. Design
Fachabteilung:Manufacturing Engineering
Gesellschaft:Mercedes-Benz Research and Development India Private Limited
Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore
Startdatum:16.01.2026
Veröffentlichungsdatum:05.01.2026
Stellennummer:MER0003WPM
Arbeitszeit:Vollzeit
Aufgaben

About MBRDI:

Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.

About the Role

We are looking for AI Enthusiasts—applied data scientists who thrive on learning, experimenting, and building the future of AI.
This role is perfect for someone who is curious by nature, loves exploring new models and frameworks, and wants to grow into an expert in LLMs, AI Agents, and Multi-Agentic Systems.

If you are someone who tinkers with tools even after work hours, reads about the latest breakthroughs, or enjoys turning ideas into prototypes—you will feel at home here.

Key Responsibilities:

  • Explore and Build with LLMs
  • Experiment with new LLMs (GPT, Llama, Claude, Mistral, etc.).
  • Try out new prompting patterns, fine-tuning methods, and retrieval strategies.
  • Turn ideas into prototypes—quickly and creatively.
  • Play, Learn, and Create with Orchestrator Frameworks
  • Work with LangChain, LlamaIndex, CrewAI, or anything new that emerges.
  • Build multi-step workflows, context managers, memory modules, and tool-based actions.
  • Try different agent architectures and communication patterns.
  • Design Multi-Agentic Systems
  • Build agents that collaborate, debate, plan, and execute tasks autonomously.
  • Experiment with A2A (Agent-to-Agent) interaction workflows.
  • Convert experimental agents into enterprise-ready pipelines.
  • Grow into Enterprise-Scale AI
  • Learn how to scale your prototypes into real applications.
  • Use Azure services—Azure OpenAI, App Service, Functions, AKS, ADLS—to deploy AI workloads.
  • Work with Git, CI/CD, microservices, Docker, and cloud best practices.
  • Constant Learning & Innovation
  • Read research papers, follow AI trends, and test new libraries.
  • Participate in internal hackathons and AI/GenAI forums.
  • Regularly bring fresh ideas, PoCs, and innovative techniques to the team.

Qualifikationen

Required Skills

  • 5–7 years of experience in data science / applied ML / AI engineering.
  • Strong Python development background.
  • Experience with Git/GitHub workflows.
  • Practical exposure to LLMs, embeddings, and RAG pipelines.
  • Hands-on experience with orchestrators (LangChain, LlamaIndex, CrewAI).
  • Experience building AI Agents and/or multi-agent systems.
  • Knowledge of cloud platforms (Azure preferred).
  • Understanding of scalable and enterprise application development.

Good to Have :

  • MCP (Model Context Protocol) experimentation.
  • Databricks, Delta Lake, or Spark exposure.
  • Contributions to open-source AI tools or repos.
  • Automation experience with n8n or agent frameworks.
  • Experience with structured + unstructured data pipelines.

Why Join Us?

  • Be part of a purpose-driven organization that’s shaping the future of mobility.
  • Work on cutting-edge technologies and global projects.
  • Thrive in a collaborative, diverse, and inclusive environment.
  • Access world-class infrastructure and learning opportunities.

Equal Opportunity Statement:

At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.

Benefits
Mitarbeiterrabatte möglich
Gesundheitsmaßnahmen
Mitarbeiterhandy möglich
Essenszulagen
Betriebliche Altersversorgung
Hybrides Arbeiten möglich
Mobilitätsangebote
Mitarbeiter Events
Coaching
Flexible Arbeitszeit möglich
Kinderbetreuung
Parkplatz
Kantine, Café
Gute Anbindung
Barrierefreiheit
Betriebsarzt
KontaktMercedes-Benz Research and Development India Private Limited
Plot No. 5-P, EPIP 1st Phase560066 BangaloreDetails zum Standort
Kengal Rohith Keerthy E-Mail: rohith.kengal@mercedes-benz.com

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