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MLOps Engineer

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NTT DATA

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Location:
Mexico

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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:

The MLOps Engineer role involves building ML pipelines and deploying models while leveraging expertise in data science and machine learning. Candidates should have over 5 years of experience, strong proficiency in AWS services, and familiarity with ML lifecycle tools. This remote position requires effective communication with clients and problem-solving skills.

Job Responsibility:

  • Build ML Pipelines and deploy models
  • Define and develop APIs and MCP Serverd
  • Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
  • Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
  • Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders
  • Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes
  • Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered
  • Work with data sets of varying degrees of size and complexity including both structured and unstructured data
  • Piping and processing massive data-streams in distributed computing environments
  • Implement batch and real-time model scoring
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Apply business knowledge to analyze data, develop reports and solve problems
  • Perform ad hoc analyses of data depending on business needs
  • Participate in the analysis and resolution of issues related to information flow and content with data stakeholders

Requirements:

  • 5 + Years as an ML Ops Engineer
  • Proficiency in AWS SageMaker and AWS Cloud Services
  • Experience with ML lifecycle tools (e.g., MLflow, Kubeflow)
  • Familiarity with Weights & Biases for experiment tracking
  • Hands-on with Databricks for scalable data and ML workflows
  • Strong Python programming skills
  • Experience in Developing GitHub Actions using Typescript for CICD
  • Experience with Kubernetes for container orchestration
  • Understanding of Edge ML deployment strategies
  • Expertise in ML training and inference workflows
  • Skills in data preparation and feature engineering
  • Communication
  • Agile Thinking
  • Adaptability
  • problem-solving
  • work ethic

Additional Information:

Job Posted:
January 26, 2026

Work Type:
Remote work
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