Senior AI/ML Engineer

Role Overview
We are looking for a Senior AI/ML Engineer with 4+ years of experience to build, integrate, and scale graph-powered AI solutions. This role emphasizes hands-on development using Databricks, LLM frameworks, vector databases.
Key Responsibilities
Develop and maintain graph-based AI solutions using Neo4j and Cypher.
Build and optimize data pipelines using Databricks (mandatory).
Implement AI workflows using LangChain or LangGraph.
Integrate knowledge graphs with LLMs (GPT-5, Claude 4, etc.) for RAG and reasoning use cases.
Work with vector databases such as Pinecone or Milvus for embeddings and semantic search.
Develop and train AI/ML models using Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV.
Deploy and monitor models using Docker, Kubernetes, and cloud platforms.
Collaborate closely with architects and data teams to deliver scalable solutions.
Required Skills & Qualifications
4+ years of experience in AI/ML engineering, data engineering, or related roles.
Strong proficiency in Python.
Mandatory hands-on experience with Databricks.
Experience with LangChain or LangGraph.
Working knowledge of Neo4j, Cypher, and graph data modeling.
Familiarity with vector databases (Pinecone, Milvus).
Experience with cloud platforms (AWS, GCP, Azure).
Knowledge of MLOps fundamentals, deployment, and monitoring.