Experience working in agile, cross-functional teams and delivering measurable impact.
Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
8+ years of experience architecting and deploying enterprise-scale AI/ML platforms, including GenAI, LLMs, agentic architectures, and MLOps/LLMOps.
Proven expertise in designing, implementing, and scaling AI infrastructure using Databricks, Azure AI, Snowflake, Spark, Airflow, and related technologies.
Hands-on experience with production-grade model selection, fine-tuning, evaluation, and responsible AI governance.
Strong programming skills in Python, PySpark, SQL, and experience with modern AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI Agents SDK).
Demonstrated ability to lead cross-functional teams and deliver measurable business impact through AI-driven solutions.
Experience integrating GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops.
Familiarity with multi-modal AI (text, image, audio) and unstructured data processing
