Senior Data Science Engineer Lead, VP

Job Description

Your key responsibilities Design & Develop Agentic AI Applications Utilize frameworks like Lang Chain, Crew AI, and Auto Gen 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 M LOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring Your skills and experience 15+ 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 Tensor Flow 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 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 ecommerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneous