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Data Science Engineer, AVP

Data Science Engineer, AVP

Deutsche Bank

6 - 10 years

30 - 35 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

artificial intelligence sql tensorflow api python semantic css bootstrap ajax jquery react.js java data science gcp pytorch json vector html ml machine learning data engineering javascript angular neo4j rdf aws sparql responsive web design db

Work Mode

Work from Office

Job Type

Full Time

Job Description

:
Job Title- Data Science Engineer, AVP
Location- Bangalore, India
Role Description
We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications.What well offer you

100% reimbursement under childcare assistance benefit (gender neutral)

Sponsorship for Industry relevant certifications and education

Accident and Term life Insurance

Your key responsibilities

Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution.

Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems.

Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications.

NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP)

Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning.

Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements.

Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring.

Your skills and experience

8+ years of professional experience in AI/ML development, with a focus on agentic AI systems.

Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch.

Experience in deploying AI models on cloud platforms (e.g., GCP, AWS).

Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL.

Familiarity with MLOps tools and practices for continuous integration and deployment.

Skilled in building and querying knowledge graphs using tools like Neo4j.

Hands-on experience with vector databases and embedding techniques.

Familiarity with RAG architectures and hybrid search methodologies.

Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce.

Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously.

How well support you

About us and our teams
Please visit our company website for further information:https://www.db.com/company/company.htm
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.

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Data Science Engineer, AVP