Description :

- 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