Job Description:

- 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

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

Skills: snowflake , Machine Learning, Etl, Pyspark, MLops, ELT, Databricks, Python

Experience: 0.00-0.00 Years

📌 AI/ML Engineer (with Databricks Cloud Skills) (Pune)
🏢 Infosys
📍 Pune