MLOps Engineer
EPAM Systems
Rijswijk, South Holland, Netherlands
Hybrid
Intermediate
Starts as soon as possible
posted 3 days ago
Vacancy Summary
Join our team as an MLOps Engineer in Amsterdam or Rijswijk, Netherlands, working in a hybrid model. You'll build and maintain production-ready machine learning solutions, focusing on MLOps practices and extending capabilities towards LLMOps and agentic AI workflows.
Required skills
Infrastructure as code (IaC)
PYTHON
Engage
WGA
Kubeflow
Compliance
Cloud Environments
Lifecycle Management
Insurance
Apache Airflow
Agentic AI
cloud infrastructure
AI solutions
Operations
monitoring
Infrastructure-as-Code
Learning and Development
Observability
Tools
Teams
Amazon Web Services (AWS)
Artificial Intelligence (AI)
Governance
APIs
AWS (SES)
AI Workflows
Orchestration
Communication Skills
Design
GPU
security
Computer Science
Continuous Integration and Continuous Delivery (CI/CD)
Reimbursement
Databases
Tooling
Building Services
Docker
Model Evaluation
Generative AI
Google Cloud Platform (GCP)
Langfuse
AI systems
OpenTelemetry
Machine Learning
Retrieval-Augmented Generation (RAG)
Terraform
Support
Model Serving
Production
FinOps
Continuous Integration/Deployment (CI/CD)
Prefect
LLMOps
CI/CD Pipelines
Training
Tracking
Provider
WIA
CPU
Azure
Cost Optimization
Continuous Delivery (CD)
Continuous Integration/Continuous Deployment (CI/CD)
Enterprise Architecture
Large Language Models (LLM)
MLOps
Reliability
Tracing
Kubernetes
Vector
Inference
Scalable Solutions
NICE
understanding
components
AI Workloads
Standards
ISAD(G)
Discipline
Assistance
(Gen)AI
Employee Stock Purchase Plan
English level
Professional
We're seeking an MLOps Engineer to enhance our team in Amsterdam or Rijswijk, Netherlands, with a hybrid working arrangement. In this role, you will construct, deploy, and sustain production-ready machine learning solutions, emphasizing MLOps practices such as CI/CD, model serving, monitoring, and robust cloud infrastructure. Additionally, you will help expand these capabilities towards LLMOps and agentic AI workflows, facilitating areas like LLM applications, RAG pipelines, model evaluation, and observability for enterprise environments.
Responsibilities
- Build and maintain platform components for ML model training, deployment, serving, and monitoring.
- Develop and optimize CI/CD pipelines for machine learning workflows.
- Implement and support model lifecycle management, including registries and observability tooling.
- 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.
- Advocate cloud best practices for reliability, scalability, and cost optimization.
About EPAM Systems
EPAM Systems
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. Learn more at www.epam.com and follow us on LinkedIn.
Locations
Newtown, US
Website
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