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Mlops Engineer

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NTT DATA

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Location:
United States , Plano

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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 MLOps Engineer to join our team in Plano, Texas (US-TX), United States (US). Job Duties: · Exercise expertise in ideating and developing ML applications on prediction, recommendation, text analytics, computer vision, bots, and document intelligence. · Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. · Employ technical knowledge and hands-on experience with Azure ML Studio and Azure Kubernetes Service. · Experience in deploying Azure cloud services using Terraform templates with strong knowledge of DevOps principles and automated deployments. · Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. · Work on model inferencing, validation and deployments to ensure models are deployed with the appropriate levels of validation and quality. · Create and maintain infrastructure to ingest, normalize, and combine datasets for actionable insights. · Interact at appropriate levels to ensure client satisfaction and project success. · Communicate complex technical concepts clearly to non-technical audiences." Minimum Skills Required: 8+ Years experience with: MLOps Azure Kubernetes Argo / Bento Azure ML Studio Model Inferencing

Job Responsibility:

  • Exercise expertise in ideating and developing ML applications on prediction, recommendation, text analytics, computer vision, bots, and document intelligence
  • Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn
  • Employ technical knowledge and hands-on experience with Azure ML Studio and Azure Kubernetes Service
  • Experience in deploying Azure cloud services using Terraform templates with strong knowledge of DevOps principles and automated deployments
  • Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
  • Work on model inferencing, validation and deployments to ensure models are deployed with the appropriate levels of validation and quality
  • Create and maintain infrastructure to ingest, normalize, and combine datasets for actionable insights
  • Interact at appropriate levels to ensure client satisfaction and project success
  • Communicate complex technical concepts clearly to non-technical audiences

Requirements:

8+ Years experience with: MLOps Azure Kubernetes Argo / Bento Azure ML Studio Model Inferencing

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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