T10 to T9 Conversion Data Scientist
Skills
About the role
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
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