We’re Hiring: GenAI / AI-ML Expert
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
Must have 10+ years of experience. Mostly in Data science, AI ML, GenAI and NLP technologies.
At least 2+ years in GenAI application development
Core Expertise Required:
Experts in problem solving, developing technical solutions
Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, Function calling, Chain of thoughts, MCP, Tools register, intent based routing etc.
Expert in using paid (OpenAI on Azure, Bedrock in AWS, other leading one) and open source LLMs, VLM, SLM etc
Expert in RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP, NLQ to SQL etc.
Data & Architecture:
Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
Experience with multiple leading Vector DB, chunking strategies, Graph DB (Neo4J)
DAR for applying best solution for problem statements
Experience in multi Agents system development, Agentic AI
Technical Skills:
Experience with Python programming language. Should know other languages too
Ability to develop Python code efficiently, FastAPI
Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
Enforce reusable component development and sharing across solution
Cloud & Deployment:
Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
LLM & GenAI Expertise:
Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
Experience developing Guardrails for LLMs both with open source and cloud native models.
Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
Collaboration & Delivery:
Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. xphnsxz
Additional Skills:
Experience in RDBMS database, Data Lake, Postgresql
Experience on Marklogic / No SQL database
Experience on Elastic search
Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
If this sounds like you or someone in your network, let’s connect!