AI/ML Engineer (with Databricks Cloud Skills)

Infosys; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking an enthusiastic AI/ML Engineer with 2-3 years of hands-on experience in machine learning, generative AI, and Databricks-based development. You will build, train, deploy, and monitor ML models using Python, PySpark, and modern AI frameworks.

The role focuses on developing end-to-end ML solutions, feature engineering, model evaluation, and scalable data pipelines on Databricks, Delta Lake, and related Databricks tools, collaborating with data engineers to deliver AI-ready

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 the ML lifecycle.
• Exposure to GenAI/LLM use cases preferred.

Responsibilities

• Develop, train, validate, and deploy ML models.
• Build predictive analytics, classification, 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

AI/ML development

Python

Databricks

PySpark

ML lifecycle

GenAI/LLM exposure

Education

Bachelor of Engineering

Tools

Databricks

PySpark

Snowflake

Delta Live Tables

Unity Catalog

Job description

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 modern AI frameworks.

Roles 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 Requirement

• 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 Responsibility

• 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.

Educational Requirement

Bachelor of Engineering

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

Service Line

Data Analytics Unit