MLOps Engineer (Remote)

NTT DATA North America; A distancia; MXN 1,383,000 - 1,730,000; Jornada completa

Descripción de la vacante

A leading global technology company is seeking a Remote MLOps Engineer to join its team in Toluca, Mexico. The successful candidate will build ML pipelines, deploy models, and define APIs while working within a dynamic team. The role requires expertise in AWS SageMaker and other ML lifecycle tools, along with strong problem-solving and communication skills. This position offers the opportunity to work in an innovative environment focused on continuous improvement and client satisfaction.

Formación

• 5+ years of experience as an ML Ops Engineer.
• Proficiency in AWS SageMaker and AWS Cloud Services.
• Experience with ML lifecycle tools such as MLflow and Kubeflow.

Responsabilidades

• Build ML Pipelines and deploy models.
• Define and develop APIs and MCP Server.
• Assist in breaking down complex business problems and developing solutions.

Conocimientos

AWS SageMaker

AWS Cloud Services

MLflow

Kubeflow

Weights & Biases

Databricks

Python

GitHub Actions

TypeScript

Kubernetes

Edge ML deployment

Data preparation

Feature engineering

Communication

Agile thinking

Adaptability

Problem solving

Work ethic

Descripción del empleo

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 Server working on projects leveraging 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.
• Pipe and process massive data streams in distributed computing environments. Implement batch and real‑time model scoring.
• Assemble large, complex data sets that meet functional and 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:
• Proficiency in AWS SageMaker and AWS Cloud Services.
• Experience with ML lifecycle tools such as MLflow and 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 CI/CD.
• 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.
• Soft skills: communication, agile thinking, adaptability, problem solving, work ethic.

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. 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.

EEO & Equal Opportunity

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 click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Accessibility & Contact

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.