Senior MLOps Engineer — Build Scalable ML Platforms

EPAM Systems; México; Remoto; MXN 900.000 - 1.300.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare benefits

Paid time off

Professional development

Descrizione del lavoro

EPAM Systems seeks a Senior MLOps Engineer to lead the cloud transformation and end-to-end ML production lifecycle for a major real estate analytics platform. You will mentor engineers, set technical standards, and collaborate with Data Science, Engineering, and Product teams to align ML initiatives with business goals.

The role emphasizes scalable, secure data pipelines, model deployment at scale, and continuous improvement of ML observability. Strong Python and Google Cloud skills required.

Competenze

• 3+ years of experience in an MLOps or similar role.
• Advanced proficiency in Python with strong software engineering practices.
• Deep expertise in Google Vertex AI and Vertex AI Pipelines, including production-scale implementations.
• Proven experience designing and implementing monitoring, alerting, and observability for ML models in production.
• Strong hands-on experience with Jenkins and Docker in enterprise CI/CD environments.

Mansioni

• Define and govern the ML systems lifecycle across multiple teams and projects.
• Translate complex business objectives into well-framed ML problems and technical roadmaps.
• Architect scalable, secure, and cost-efficient data solutions for diverse use cases.
• Oversee data preparation and processing strategies ensuring quality, lineage and reproducibility.
• Lead model training and experimentation initiatives with standards for the team.
• Design, build, and automate robust ML pipelines and CI/CD workflows.
• Deploy models to production with focus on scalability, security, and performance.
• Monitor, optimize, and maintain models in production with advanced observability and remediation.

Conoscenze

Python

MLOps

Vertex AI

CI/CD

Jenkins

Docker

Kubernetes

Observability

Groovy

PyCharm

Strumenti

Google Vertex AI

Vertex AI Pipelines

Jenkins

Docker

Kubeflow

Kubernetes

Ansible

Terraform

JetBrains PyCharm

Groovy

Descrizione del lavoro

EPAM Systems seeks a Senior MLOps Engineer to lead the cloud transformation and end-to-end ML production lifecycle for a major real estate analytics platform. You will mentor engineers, set technical standards, and collaborate with Data Science, Engineering, and Product teams to align ML initiatives with business goals.

The role emphasizes scalable, secure data pipelines, model deployment at scale, and continuous improvement of ML observability. Strong Python and Google Cloud skills required.