odels using Databricks Lakehouse Platform Python PySpark and modern AI frameworks

Key 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

Technical 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

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

Preferred Skills:

Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Generative AI->Generative AI - Basic,Technology->Data Engineering->Databricks

AI/ML Engineer (with Databricks Cloud Skills)