Job Description
AI Engr (Commercial & MTO) NTT Ltd - 3.5 Dallas, TX Job Details Full-time 2 hours ago Qualifications Continuous Delivery (CD) implementation Application deployment AI platforms (beyond public GPTs) Computational framework SQL Machine learning cloud services Machine intelligence Model deployment Third-party risk management Model training DevOps automation Machine learning libraries Machine learning frameworks
MLOps Full Job Description Req ID:
375679 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 AI Engr (Commercial MTO) to join our team in Dallas, Texas (US-TX), United States (US). Job Title:
AI Engineer (Commercial MTO) Experience level: 10 + years Job Summary AI Engineer (Commercial MTO) responsible to build production-ready artificial intelligence and machine learning solutions to drive business growth. This role bridges software engineering, data science, and commercial strategy, typically managing the deployment of models into operational pipelines for revenue generation, market analysis, and supply chain logistics. Core Responsibilities Commercial AI Strategy:
Collaborate with business leaders and product managers to map organizational challenges to high-impact AI/ML use cases. Model Deployment API Integration:
Transform trained machine learning models into robust, scalable, production-ready APIs that integrate seamlessly with enterprise systems. Workflow Automation (MTO): Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to optimize Make-To-Order (MTO) production pipelines and e-commerce supply chains. Data Pipelines Ingestion:
Develop and manage infrastructure to collect, clean, and transform unstructured data for AI model consumption. Performance Monitoring:
Maintain and continuously optimize deployed models for accuracy, reliability, and cost-efficiency in live production environments. Key Requirements Technical Proficiencies:
7+ years of advanced coding skills in Python, SQL, and Java/Scala. Proficiency in ML frameworks like PyTorch or TensorFlow, and frameworks for building workflows like LangChain. Cloud MLOps:
5+ years of experience deploying models using cloud platforms such as AWS, Azure, or Google Cloud (GCP), along with CI/CD pipelines. Business Acumen:
5+ years of ability to explain complex AI outputs to C-suite executives and non-technical stakeholders to influence commercial decision-making. Education:
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field. Common Expectation from all the roles: Compliance with Client's responsible AI principles and Acceptable Use policy Adherence to data residency, privacy (GDPR, HIPAA where applicable), and 21 CFR Part 11 controls where in scope Third-party risk assessment and SOC 2 Type II (or equivalent) certification Disclosure of subcontractors and offshore delivery locations Disclosure of model providers, training data practices, and any use of client data for model improvement (opt-out required) #LI-NorthAmerica About NTT DATA NTT DATA
is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA
is a part of NTT Group, which invests over $3 billion each year in RD. Whenever possible, we hire locally to NTT DATA
offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA
office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA
recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. 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. 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.
