Senior AI/ML Engineer - Hybrid

Req ID: 371059 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 Senior AI/ML Engineer - Hybrid to join our team in Irving, Texas (US-TX), United States (US). Senior AI/ML Specialist We are seeking a Senior AI/ML Specialist to lead the design, development, and deployment of advanced machine learning and generative AI solutions. In this role, you will work at the forefront of AI innovation—building scalable ML pipelines, fine‑tuning LLMs, shaping AI strategy, and guiding teams as we deliver high‑impact, data‑driven products. If you thrive in a fast‑moving environment and enjoy solving complex technical challenges, this is an opportunity to influence architecture, mentor others, and drive meaningful AI transformation. Responsibilities Design, fine‑tune, and optimize advanced AI/ML algorithms, including Generative AI, LLMs, and traditional machine learning models. Derive data‑driven insights using supervised, unsupervised, reinforcement learning, and deep learning techniques. Build scalable, secure, end‑to‑end ML pipelines for data ingestion, model training, evaluation, and real‑time inference. Automate model deployment, monitoring, and drift detection across cloud platforms such as AWS, Azure, or Google Cloud. Integrate processed datasets with generative AI models to support real‑world business use cases. Provide technical leadership and mentorship to engineers working on Python development, model integration, and data sampling. Collaborate with cross‑functional teams including Product, Engineering, and Data Science to shape AI strategy and solution design. Stay current with emerging AI technologies and implement innovations such as Retrieval‑Augmented Generation (RAG) and Agentic AI. Ensure best practices in model governance, documentation, and reproducibility. Qualifications & Requirements 7+ years of overall experience in software engineering, data science, or machine learning. 3+ years of hands‑on Python experience, including data manipulation with Pandas, NumPy, and scikit‑learn. 2+ years of experience with machine learning frameworks such as TensorFlow and PyTorch. 2+ years of experience working with frameworks like LangChain or LangGraph for LLM integration. Expertise with ML and deep learning libraries such as PyTorch, TensorFlow, Keras, or scikit‑learn. Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent cloud‑based AI services. Strong understanding of NLP, Computer Vision, and vector databases (e.g., Pinecone, Weaviate). Proficiency in prompt engineering techniques, including zero‑shot, few‑shot, and Chain‑of‑Thought prompting. Deep knowledge of data science methodologies and sampling strategies for deriving insights and building representative datasets. Pay Transparency Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 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 part of NTT Group, which invests over $3 billion each year in R&D. 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, NTT DATA endeavors to make 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 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. #LI-NorthAmerica