ML Ops Engineer

NTT DATA; Tijuana; Presencial; MXN 1,440,000 - 1,981,000; Jornada completa

Descripción de la vacante

A global technology service provider in Mexico is seeking an experienced ML Ops Engineer to build and deploy machine learning models. The ideal candidate will have at least 5 years of experience in this field and be proficient in AWS SageMaker, Databricks, and Kubernetes. Responsibilities include engaging clients, conducting market research, and managing complex data sets. Join a forward-thinking organization that values innovation and collaboration.

Formación

• 5+ years of experience as an ML Ops Engineer.
• Proficient in AWS SageMaker and AWS Cloud Services.
• Hands-on experience with Databricks for scalable data workflows.
• Strong Python programming skills required.

Responsabilidades

• Build ML Pipelines and deploy models.
• Conduct market research and develop solutions.
• Work with large, complex data sets of various types.
• Engage with clients to understand project requirements.

Conocimientos

AWS SageMaker

AWS Cloud Services

MLflow

Kubeflow

Weights & Biases

Databricks

Python

GitHub Actions

Kubernetes

ML training and inference

Data preparation

Feature engineering

Communication

Agile Thinking

Adaptability

Problem-solving

Work ethic

Herramientas

MLflow

Kubeflow

AWS SageMaker

Databricks

Kubernetes

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.

Job Duties

• Build ML Pipelines and deploy models, Define and develop APIs and MCP Serverd.
• 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/non‑functional business requirements.
• Apply business knowledge to analyze data and develop reports to 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 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
• 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, serving 75% of the Fortune Global 100 and helping clients innovate, optimize and transform for long‑term success. For more information, visit us at us.nttdata.com.

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