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.