Enterprise AI/ML Solutions Consultant

NTT Data Americas, Inc.; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

NTT Data Americas, Inc. is seeking an experienced Business Consultant AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions across enterprise applications. You will collaborate with data scientists, data engineers, and business stakeholders to turn requirements into production-ready AI capabilities.

This role emphasizes hands-on Python, ML frameworks, data processing, and cloud services. You will contribute to MLOps, model monitoring, and integration with APIs and microservices

Qualifications

• 5+ years of Python development or ML engineering experience.
• 3+ years building ML models with common frameworks.
• 3+ years data processing, SQL, and feature engineering.
• 2+ years deploying AI/ML solutions on major cloud platforms.

Responsibilities

• Design, develop, train, and deploy ML models for enterprise use cases.
• Develop data preprocessing, feature engineering, and model evaluation pipelines.
• Build AI/ML services with APIs and microservices integration.
• Evaluate algorithms and optimize for accuracy and scalability.
• Develop automated ML pipelines for training, testing, deployment, and monitoring.
• Collaborate with data scientists, data engineers, and business teams to translate requirements.
• Implement MLOps for model versioning, deployment, monitoring, and lifecycle management.
• Work with structured and unstructured data from multiple sources.
• Monitor production models for drift and data quality issues.
• Participate in code reviews and Agile delivery activities.

Skills

Python development

Data Science / ML engineering

Machine Learning frameworks

AWS / Azure / GCP deployments

SQL and data processing

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

NTT Data Americas, Inc. is seeking an experienced Business Consultant AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions across enterprise applications. You will collaborate with data scientists, data engineers, and business stakeholders to turn requirements into production-ready AI capabilities.

This role emphasizes hands-on Python, ML frameworks, data processing, and cloud services. You will contribute to MLOps, model monitoring, and integration with APIs and microservices