Senior MLOps Engineer (Python & Google Vertex AI)
EPAM Systems
ResponsibilitiesDesign and implement ML systems lifecycle from problem framing to deployment.Collaborate with business stakeholders to translate objectives into ML solutions.Develop and automate data and ML pipelines for production use.Orchestrate data preparation workflows using Kubeflow or Airflow.Deploy, monitor, optimize, and maintain machine learning models in production.Utilize Google Vertex AI pipelines to streamline MLOps processes.Develop infrastructure as code for reproducible cloud environments.Ensure the reliability, availability, and scalability of deployed models and systems.Troubleshoot and resolve issues in deployed ML systems.Build robust monitoring frameworks for real-time model performance evaluation.Requirements3+ years of experience with MLOps workflows and practices.Knowledge of Google Cloud Platform.Expertise in Google Vertex AI and Google Vertex AI pipelines.Strong understanding of MLOps practices.Proficiency in Python.Experience with Terraform.Experience with scripting languages like PowerShell.Knowledge of monitoring and maintaining ML models in production environments.Background in designing and orchestrating data pipelines using technologies such as Kubeflow or Airflow.Minimum English language level of B1+.Nice to haveFamiliarity with Generative AI fundamentals and applications.Knowledge of Google Cloud Dataflow.Skills in Groovy, Jenkins, and Poetry.We offerInternational projects with top brands.Work with global teams of highly skilled, diverse peers.Healthcare benefits.Employee financial programs.Paid time off and sick leave.Upskilling, reskilling and certification courses.Unlimited access to the LinkedIn Learning library and 22,000+ courses.Global career opportunities.Volunteer and community involvement opportunities.EPAM Employee Groups.Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn.
Hoy,
Expira 23/12/2025