AI/ML Engineer

Capgemini•Atlanta, GA

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

8 10 years of experience in data engineering cloud platforms and big data technologies
Strong proficiency in Azure services Data Factory Synapse Data Lake Azure SQL Cosmos DB
Experience with Python Spark SQL and distributed data processing
Familiarity with AIML workflows and tools such as Azure ML MLflow and OpenAI APIs
Understanding of data governance security and compliance in cloud environments.

Responsibilities

Design build and maintain scalable ETLELT pipelines using Azure Data Factory Synapse Pipelines and Databricks
Ingest transform and curate structured and unstructured data from diverse sources for AIML consumption
Optimize data workflows for performance reliability and costefficiency
Enable data access and preparation for Azure AI services including Azure Machine Learning Azure OpenAI and Cognitive Services
Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices
Support RAG RetrievalAugmented Generation and other GenAI patterns through data engineering best practices
Implement CICD pipelines for data workflows using Azure DevOps or GitHub Actions
Automate infrastructure provisioning using Terraform Bicep or ARM templates
Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics