AI / ML Engineer

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

Business Consultant - AI/ML Engineer

Location: Atlanta/Chicago

Employment Type: Contract/Permanent

Role Summary

NTT DATA's Client is seeking an experienced 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.
• 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.

Nice to Have

• Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
• Knowledge of RAG, embeddings, vector databases, and semantic search.
• Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
• Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
• Knowledge of MLOps tools and model lifecycle management.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
• Understanding of responsible AI, model governance, security, and data privacy.
• Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
• Strong analytical, problem‑solving, communication, and stakeholder management skills.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start‑up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Compensation

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

Accessibility and Support

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Equal Opportunity

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.