AI/ML Engineer (with Databricks Cloud Skills)

Infosys; Maharashtra; Presencial; INR 900 000 - 1 500 000; Tempo integral

Resumo da oferta

Infosys in Maharashtra is seeking an AI/ML Developer with 2-3 years of hands-on experience to design, train and deploy ML models. You will build predictive analytics, classification and NLP solutions, performing feature engineering and model evaluation as part of the ML lifecycle.

You will work with Databricks and PySpark to construct scalable data processing workflows, leverage Delta Lake and Databricks notebooks, and collaborate with data engineers to prepare AI-ready datasets.

Qualificações

• 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 machine learning lifecycle.
• Exposure to GenAI/LLM use cases preferred.

Responsabilidades

• 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.

Conhecimentos

AI/ML development

Python

Databricks

PySpark

ML model deployment

ML lifecycle

GenAI/LLM use cases

Ferramentas

Databricks

PySpark

Descrição da oferta de emprego

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

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.

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.