Senior AI​/ML Engineer - Hybrid

Senior AI/ML Engineer - Hybrid

Location:

Irving, Texas, United States

• 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 or Amazon Bedrock, or equivalent cloud‑based AI services.
• Strong understanding of NLP, Computer Vision, and vector databases such as Pinecone or 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 this remote role: $87,120–$151,250.

Eligible benefits include 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 401(k) program with company match; and other voluntary or legally‑required benefits.

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 . If you'd like more information on your EOO rights under the law please . For Pay Transparency information please .