Hybrid Enterprise AI/ML Engineer & Solutions Architect

Creative Solutions Services, LLC; Atlanta (GA); Hybrid; USD 90,000 - 96,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k program

Employee assistance program

Job summary

NTT DATA seeks an experienced Business Consultant – AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions. You will work with data scientists, data engineers, developers and business stakeholders to productionize models and integrate AI into enterprise apps.

The role emphasizes hands-on Python, ML frameworks, data processing, and cloud-based AI services, with a hybrid onsite arrangement in Atlanta/Chicago.

Qualifications

• 5+ years in Python development, data science, or ML engineering.
• 3+ years building ML solutions with Scikit-learn, TensorFlow, or PyTorch.
• 3+ years data processing, SQL, and model development.
• 2+ years deploying AI/ML on AWS, Azure, or Google Cloud.

Responsibilities

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

Skills

Python

Data Science

Machine Learning

SQL

Cloud deployment

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Job description

NTT DATA seeks an experienced Business Consultant – AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions. You will work with data scientists, data engineers, developers and business stakeholders to productionize models and integrate AI into enterprise apps.

The role emphasizes hands-on Python, ML frameworks, data processing, and cloud-based AI services, with a hybrid onsite arrangement in Atlanta/Chicago.