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
