NTT DATA

Senior AI/ML Engineer - Hybrid

Irving, TX, US$87,120-$151,250Posted 2 months ago

Job Description

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, docume...

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