Business Consultant
US$91,000 – US$130,000 / yr base salary
Posted 23 Sep 2026
Advertised as “Business Consultant - AI/ML Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Contract
- Contract
| Base salary | US$91,000 – US$130,000 / yr |
|---|
Req ID: 387354
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Business Consultant - AI/ML Engineer to join our team in Atlanta, Georgia (US-GA), United States (US).
Job Title: Business Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
We are seeking an experienced Business Consultant – AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
- 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.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Work with structured and unstructured datasets from multiple sources.
- Monitor production models and address model performance, drift, and data-quality issues.
- Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic 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.
- of experience with .