Senior AI/ML Engineer Relevant DS/AI Exp: 8-10 Years What you'll do Lead the design, development, and production deployment of AI solutions across Machine Learning, GenAI, Agentic AI, and analytics use cases. Build scalable ML and GenAI systems using Databricks, Snowflake, and modern cloud-native architectures. Drive MLOps practices including CI/CD, monitoring, model governance, and operationalization.

Work closely with business stakeholders to translate complex problems into measurable AI solutions while mentoring junior data scientists and establishing engineering, documentation, and governance standards.

What we're looking for Solid hands-on experience in Python, SQL, PySpark, Databricks, APIs, and enterprise data platforms. Proven expertise in ML, DL, NLP, GenAI/RAG, agentic systems, recommendation systems, forecasting, and experimentation.

Experience deploying ML/AI solutions into production with CI/CD, monitoring, MLflow, and MLOps best practices. Exposure to MCP, multi-agent architectures, governance frameworks, and technical documentation (HLD/LLD/BRD). Ability to independently lead solution design, interact with business stakeholders, and drive delivery of enterprise-scale AI initiatives.

📌 AI/ML Data Engineer (Gurugram)
🏢 AIonOS
📍 Gurugram