Data Engineer - GenAI

Job description

Role- Data Engineer - GenAI Skills Required- LLM, Langchain, Asynchronous Processing. API Integration, Pyspark, Scala spark, Hive, Kafka, Big Data modeling and architecture, Python/Scala programming and SQL Location-Pan India Year of Experience-10 to 18 years **Desired Competencies (Technical/Behavioral Competency)** **Must-Have\\*\\*** - GenAI and LLMs expertise - Strong programming skills in Python; familiarity with PyTorch, TensorFlow, Scikit-learn, LangChain, HuggingFace - Experience with ML frameworks - Designing, developing, and deploying GenAI models - Prompt engineering and LLM tools/orchestration - Retrieval-Augmented Generation (RAG) - Hands-on cloud experience (Azure Databricks, other platforms) - DevOps knowledge - Experience building APIs and deploying models with FastAPI - Knowledge of GenAI frameworks **Good-to-Have** - Understanding of AI governance principles (compliance, security, explainability, monitoring) - Solid foundation in MLOps practices (CI/CD, versioning, monitoring, automation) - Experience with LLMOps - Understanding of GIT and similar tools - Knowledge of data engineering concepts