MLOps Engineer

Req ID:

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 (Remote) to join our team in Mexico, México (MX-MEX), Mexico (MX).

Job Duties:

• 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.

Skills Required:

5 + Years as an ML Ops Engineer with experience in the following:

1. Proficiency in AWS SageMaker and AWS Cloud Services.
2. Experience with ML lifecycle tools (e.g., MLflow, Kubeflow) .
3. Familiarity with Weights & Biases for experiment tracking.
4. Hands-on with Databricks for scalable data and ML workflows.
5. Strong Python programming skills.
6. Experience in Developing GitHub Actions using Typescript for CICD
7. Experience with Kubernetes for container orchestation.
8. Understanding of Edge ML deployment strategies.
9. Expertise in ML training and inference workflows.
10. Skills in data preparation and feature engineering Soft skills required.
11. Communication, Agile Thinking.
12. Adaptability, problem-solving, work ethic

#LaunchJobs #Launch Engineering  #LI-NorthAmerica

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at 

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use and email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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