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Deutsche Bank
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Data Science Engineer, AS

Data Science Engineer, AS

Deutsche Bank

2 - 5 years

9 - 13 Lacs

Bengaluru

Posted:4 days ago| Platform:

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Skills Required

artificial intelligence sql api python db nltk neural networks numpy deep learning tensorflow spacy data science gcp pytorch keras vector ml natural language processing machine learning data engineering pandas neo4j rdf computer vision aws sparql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role :
Job Title- Data Science Engineer, AS
Location- Bangalore, India
Role Description
We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage

Retrieval-Augmented Generation (RAG)

Multi-agent frameworks

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

4+ 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.

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

How well support you

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Data Science Engineer, AS