Business Consultant - AI/ML Engineer

NTT Data Americas, Inc.; Atlanta (GA); Presencial; USD 120 000 - 160 000; Tempo integral

Resumo da oferta

NTT Data Americas, Inc. is seeking an experienced Business Consultant AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions across enterprise applications. You will collaborate with data scientists, data engineers, and business stakeholders to turn requirements into production-ready AI capabilities.

This role emphasizes hands-on Python, ML frameworks, data processing, and cloud services. You will contribute to MLOps, model monitoring, and integration with APIs and microservices

Qualificações

• 5+ years of Python development or ML engineering experience.
• 3+ years building ML models with common frameworks.
• 3+ years data processing, SQL, and feature engineering.
• 2+ years deploying AI/ML solutions on major cloud platforms.

Responsabilidades

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

Conhecimentos

Python development

Data Science / ML engineering

Machine Learning frameworks

AWS / Azure / GCP deployments

SQL and data processing

Ferramentas

Docker

Kubernetes

CI/CD pipelines

Descrição da oferta de emprego

Business Consultant AI/ML Engineer

Location: Atlanta/Chicago

Employment Type: Contract/Permanent

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.

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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