Business Consultant - AI/ML Engineer

NTT Data Americas, Inc.; Atlanta (GA); On-site; 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

Business Consultant – AI/ML Engineer

Location: Atlanta/Chicago

Hybrid /onsite 3 days onsite

Role Summary

NTT DATA's Client is 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.


• 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.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [65 - 70$ hourly range]. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefit

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

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