Enterprise AI/ML Engineer with MLOps & Cloud Pipelines

NTT DATA North America; Atlanta (GA); Hybrid; USD 83,000 - 96,000; Full time

Job summary

NTT DATA North America in Atlanta/Chicago is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions for enterprise use cases. You will work with data scientists and engineers to build production-ready models and integrate AI capabilities into applications.

The ideal candidate has 5+ years in Python, ML engineering, and cloud deployment (AWS/Azure/GCP) with hands-on experience in ML frameworks and data processing; knowledge of MLOps is a plus.

Qualifications

• 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
• 3+ years building ML solutions with Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• 3+ years of data processing, SQL, and model development.
• 2+ years deploying AI/ML on AWS, Azure, or GCP.

Responsibilities

• Design, develop, train, and deploy ML models for enterprise use cases.
• Develop data preprocessing, feature engineering, modeling pipelines.
• Build AI/ML services with APIs and microservices for enterprise apps.
• Evaluate algorithms, optimize models for accuracy and scalability.
• Create automated ML pipelines for training, testing, deployment, and monitoring.
• Collaborate with Data Scientists, Data Engineers, and stakeholders.
• Implement MLOps for versioning, deployment, monitoring, lifecycle management.
• Work with structured and unstructured data from multiple sources.
• Monitor production models and address drift and data quality issues.
• Participate in code reviews and Agile delivery.

Skills

Python development

Data Science

Machine Learning

SQL

ML frameworks

Cloud deployment

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Docker

Kubernetes

Job description

NTT DATA North America in Atlanta/Chicago is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions for enterprise use cases. You will work with data scientists and engineers to build production-ready models and integrate AI capabilities into applications.

The ideal candidate has 5+ years in Python, ML engineering, and cloud deployment (AWS/Azure/GCP) with hands-on experience in ML frameworks and data processing; knowledge of MLOps is a plus.