Hybrid MLOps Engineer — NL, LLMOps & AI Infra

EPAM Systems, Inc.; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

26 paid holiday days

Pension plan scheme

Disability insurance (WGA)

Long-term disability insurance (WIA)

ESP Purchase Plan

Commuting to work - costs reimbursed

Laptop + corporate simcard + corporate

Bike lease

Employee Assistance Program

Learning and development opportunities

Job summary

EPAM Systems, Inc. in Amsterdam/Rijswijk is seeking an experienced MLOps Engineer to join our hybrid team and help build, deploy and maintain production-ready ML solutions.

You will collaborate with data science and engineering teams to implement CI/CD, model serving, and scalable cloud deployments with Kubernetes, ensuring governance, observability and reliability across AI operations.

Qualifications

• Experience delivering ML or MLOps systems into production.
• Proficiency in Python for building services, APIs, scripts and CI/CD automation.
• Hands-on experience with orchestration tools such as Kubeflow, Apache Airflow, Metaflow or Prefect.
• Practical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider (AWS, Azure or GCP).

Responsibilities

• Build and maintain platform components for ML model training, deployment, serving and monitoring.
• Develop and optimize CI/CD pipelines for machine learning workflows.
• Design and manage scalable, secure deployments using containerization and Kubernetes.
• Enable secure, reusable and automated workflows to enhance ML developer productivity.
• Extend platform capabilities to support LLMOps, RAG and agentic AI workloads.
• Collaborate with engineering teams to improve reliability, automation and operational maturity.
• Apply governance and compliance standards across AI operations.
• Participate in presales and client-facing sessions to translate requirements into scalable solutions.

Skills

Python

CI/CD automation

Machine Learning / MLOps

Docker

Kubernetes

OpenTelemetry

Langfuse

Distributed deployments

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering or related discipline

Tools

Kubeflow

Apache Airflow

Metaflow

Prefect

Job description

EPAM Systems, Inc. in Amsterdam/Rijswijk is seeking an experienced MLOps Engineer to join our hybrid team and help build, deploy and maintain production-ready ML solutions.

You will collaborate with data science and engineering teams to implement CI/CD, model serving, and scalable cloud deployments with Kubernetes, ensuring governance, observability and reliability across AI operations.