Enterprise AI/ML Consultant & Architect

NTT Data Americas, Inc.; Atlanta (GA); Hybrid; USD 90,000 - 96,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k plan

Flexible spending account

Job summary

NTT DATA is seeking an experienced Business Consultant – AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions for enterprise applications. Strong hands-on Python, ML frameworks, data processing, and cloud services are required.

The role collaborates with data scientists, data engineers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications within a hybrid work model (3 days onsite in Atlanta/Chicago).

Qualifications

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

Responsibilities

• Design, develop, train, and deploy Machine Learning models for enterprise use cases.
• Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
• Build and integrate AI/ML services with enterprise applications using APIs and Microservices.

Skills

Python development

ML frameworks

Data processing/SQL

Cloud deployment

Tools

Docker

Kubernetes

CI/CD pipelines

Spark/Databricks/Snowflake

Job description

NTT DATA is seeking an experienced Business Consultant – AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions for enterprise applications. Strong hands-on Python, ML frameworks, data processing, and cloud services are required.

The role collaborates with data scientists, data engineers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications within a hybrid work model (3 days onsite in Atlanta/Chicago).