Data Science_AI Engineer, AVP

Deutsche Bank

10 - 15 years

35 - 40 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

artificial intelligence sql tensorflow api python hibernate spring deep learning java data science gcp pytorch vector html big data ml natural language processing machine learning data engineering javascript spring boot neo4j rdf aws sparql db

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title:

Data Science_AI Engineer, AVP

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.

Your key responsibilities

Design & Develop Agentic AI Applications: Utilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution.
Implement RAG Pipelines: Integrate 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: Customize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized applications.
NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP)
Develop Knowledge Graphs: Construct 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.
Optimize AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring.

Your skills and experience

10+ 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, 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. For internal use only
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 crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneously.

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