Tätigkeitsbereich:IT/Telekommunikation

Fachabteilung:Data & AI Solutions - 2

Gesellschaft:Mercedes-Benz Research and Development India Private Limited

Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore

Startdatum:sofort

Veröffentlichungsdatum:31.07.2026

Stellennummer:MER00043Z5

Arbeitszeit:Vollzeit

Aufgaben

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.

Qualifikationen

Experience: 2–6 years
LocatioExperience: 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.n: 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 effective data retrieval techniques.
- Software Engineering: Solid understanding of software development lifecycles, version control (Git), and CI/CD pipelines.

Benefits

Mitarbeiterrabatte möglich

Gesundheitsmaßnahmen

Mitarbeiterhandy möglich

Essenszulagen

Betriebliche Altersversorgung

Hybrides Arbeiten möglich

Mobilitätsangebote

Mitarbeiter Events

Coaching

Flexible Arbeitszeit möglich

Parkplatz

Betriebsarzt

Gute Anbindung

Barrierefreiheit

Kinderbetreuung

Kantine, Café

KontaktMercedes-Benz Research and Development India Private Limited

Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort

Cyril Jacob E-Mail: [email protected]

📌 Data Scientist (India)
🏢 Mercedes-Benz Group
📍 India