ML Ops Engineer: Build Pipelines, Deploy Models & APIs

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

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.