- We are seeking an enthusiastic AI ML Engineer with 2 3 years of experience in Machine Learning Generative AI and Databricks based development
- The ideal candidate should have hands on experience building training deploying and monitoring ML models using Databricks Lakehouse Platform Python PySpark and up-to-date 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