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EPAM Systems

Senior MLOps Engineer (Python & Google Vertex AI)

EPAM Systems
Portugal · Full-time · Mid-Senior
We are seeking a Senior MLOps Engineer to lead the development and operationalization of robust machine learning systems.

Working at the intersection of data science and DevOps, this role focuses on scaling ML pipelines, deploying models efficiently, and optimizing cloud infrastructure with a focus on Google Vertex AI.

Responsibilities


  • Drive implementation of the end-to-end machine learning lifecycle
  • Convert business objectives into actionable ML problems and solutions
  • Develop scalable data ingestion and preparation systems for ML
  • Design and implement automated pipelines using Google Vertex AI
  • Orchestrate workflows using tools like Kubeflow or Airflow
  • Enable efficient model deployment and serving on Google Vertex AI
  • Ensure high availability and reliability of deployed ML models in production
  • Optimize model performance through proactive monitoring and maintenance
  • Implement scalable systems for model retraining and versioning
  • Collaborate closely with data science teams to refine infrastructure
  • Build architecture that leverages infrastructure as code principles
  • Support compliance and security requirements for ML systems


Requirements


  • 3+ years of experience with MLOps workflows and practices
  • Proficiency in Google Cloud Platform, Vertex AI, and PowerShell
  • Skills in Python, Terraform, and automated deployment tools
  • Expertise in monitoring ML systems with tools like Prometheus or Jenkins
  • Background in developing pipelines using Google VertexAI Pipelines
  • Knowledge of advanced AI concepts like Generative AI and AI Agents
  • Competency in designing and maintaining large-scale ML solutions
  • Understanding of data orchestration using Kubeflow, Airflow, or similar
  • Showcase of collaboration with multidisciplinary teams for cloud optimization


Nice to have


  • Familiarity with Generative AI fundamentals and AI Agents tools
  • Understanding of Google Cloud Dataflow, Jenkins, and Groovy
  • Skills in dependency management tools like Poetry


We offer


  • Competitive compensation depending on experience and skills
  • Variety of projects within one company
  • Being a part of a project following engineering excellence standards
  • Individual career path and professional growth opportunities
  • Internal events and communities
  • Flexible work hours


lidiya korsun

Key Skills

Ranked by relevance

ai cloud machine learning kubeflow mlops infrastructure as code google cloud platform high availability prometheus terraform jenkins python devops
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Country Guide

Portugal

Startup-friendly with strong expat appeal

Posted
Jul 30, 2025
Type
Full-time
Level
Mid-Senior
Location
Portugal
Company
EPAM Systems

Industries

Software Development IT Services IT Consulting

Categories

Engineering Information Technology Business Development

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