Infosys

AI/ML Engineer (with Databricks Cloud Skills)

Pune, India

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hirly's read of this role

Role family: Data & ML
Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 7 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

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.

Education

Bachelor of Engineering

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

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