AI/ML Engineer (with Databricks Cloud Skills)

Responsibilities :

Develop, train, validate, and deploy Machine Learning models. Build predictive analytics, classification, recommendation, and NLP solutions. Perform feature engineering, model evaluation, and model optimization. Work with structured and unstructured datasets to solve business problems. Develop data processing and ML workflows using Databricks. Utilize Delta Lake, Databricks Notebooks, and Databricks Workflows. Build scalable ETL/ELT pipelines using PySpark. Collaborate with data engineers to prepare AI-ready datasets.

Additional Responsibilities:

Experience with RAG, LangChain, or AI Agents. Knowledge of LLMOps and MLOps practices. Exposure to Delta Live Tables and Unity Catalog. Experience working with Snowflake or cloud data platforms. Databricks Certified Associate/Data Engineer certification is a plus.

Technical and Professional Requirements:

2-3 years of experience in AI/ML Development Strong programming skills in Python Hands-on experience with Databricks and PySpark Experience building and deploying ML models Good understanding of Machine Learning lifecycle Exposure to GenAI/LLM use cases preferred