AI/ML Engineer (with Databricks Cloud Skills)

Infosys Limited; Pune District; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Infosys Limited in Pune is seeking an AI/ML Engineer with Databricks cloud skills to develop, train, validate, and deploy ML models. The role emphasizes PySpark, Delta Lake, and end-to-end ML lifecycle experience in a Data & Analytics context. Bachelor of Engineering is required.

The candidate will work on predictive analytics, NLP, and related data processing workflows, collaborating with data engineers to deliver scalable ML solutions.

Qualifications

• 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.

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.

Skills

Python

Databricks

PySpark

AI/ML Development

GenAI/LLM exposure

Education

Bachelor of Engineering

Tools

Databricks Notebooks

Delta Lake

Databricks Workflows

Delta Live Tables

Unity Catalog

Job description

PUNE , Infosys Limited AI/ML Engineer (with Databricks Cloud Skills)

Job ID/Reference Code INFSYS-INDEED1-254318

Work Experience 2 - 3 Years

Job Title AI/ML Engineer (with Databricks Cloud Skills)

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

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

Preferred Skills:

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