ML Ops Engineer

NTT DATA; Tijuana; Presencial; MXN 1,099,000 - 1,466,000; Jornada completa

Descripción de la vacante

A leading technology services provider is seeking an experienced ML Ops Engineer to join their team in Guadalajara, Mexico. This role will focus on building machine learning pipelines, deploying models, and developing APIs and serverless solutions. Candidates should have over 5 years of experience with strong proficiency in AWS SageMaker, Python, and relevant ML lifecycle tools. Opportunities for innovative problem-solving in a collaborative environment await successful applicants.

Formación

• 5+ years as an ML Ops Engineer with relevant experience.
• Skills in data preparation and feature engineering.

Responsabilidades

• Build ML pipelines and deploy models.
• Define and develop APIs and serverless solutions.
• Conduct market research, develop a point of view.
• Assemble large, complex data sets.
• Perform ad hoc analyses of data based on business needs.

Conocimientos

Expertise in ML training and inference workflows

Proficiency in AWS SageMaker

Strong Python programming skills

Experience with Kubernetes

Hands-on with Databricks

Experience with ML lifecycle tools

Familiarity with Weights & Biases

Experience developing GitHub Actions

Adaptability

Agile thinking

Descripción del empleo

Job Overview

NTT DATA is seeking a ML Ops Engineer to join our team in Guadalajara, México (MX-MEX). The role focuses on building ML pipelines, deploying models, and developing APIs and serverless solutions.

Responsibilities

• Build ML pipelines and deploy models.
• Define and develop APIs and serverless solutions.
• Assist in breaking down complex business problems and delivering solutions 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 and resourcefulness to achieve successful client outcomes.
• Establish relationships with clients at the appropriate levels and understand project work and challenges.
• Work with data sets of varying size and complexity, including structured and unstructured data.
• Pipe and process massive data streams in distributed computing environments and 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.

Minimum 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 (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 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.

Equal Opportunity Statement

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 Pay Transparency information, please click here.