Data Scientist

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:14.07.2026

Stellennummer:MER00043Z0

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 efficient 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

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

Cyril Jacob E-Mail: CYJACOB@invalid.com