Senior AI/ML Engineer - Hybrid
Listed on 2026-06-22
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Req . NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Senior AI/ML Engineer - Hybrid to join our team in Irving, Texas (US).
Lead the design, development, and deployment of advanced machine learning and generative AI solutions. Build scalable ML pipelines, fine‑tune LLMs, shape AI strategy, and guide teams to deliver data‑driven products in a fast‑moving environment.
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.
- 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, Num Py, and scikit‑learn.
- 2+ years of experience with machine learning frameworks such as Tensor Flow and PyTorch.
- 2+ years of experience working with frameworks like Lang Chain or Lang Graph for LLM integration.
- Expertise with ML and deep learning libraries such as PyTorch, Tensor Flow, 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.
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. Actual compensation will depend on location, experience, technical skills, and other qualifications.
BenefitsEligible for medical, dental, and vision insurance with 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.
EEO StatementNTT 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 additional information on your EEO rights under the law, please consult the federal EEO statute. For Pay Transparency information, please see the pay range stated above.
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