Senior MLOps Engineer

ELEKS DevOps Office is looking for a Senior MLOps Engineer in Poland, Croatia, Europe.

ABOUT PROJECT

The project focuses on building and enhancing MLOps infrastructure and pipelines for large-scale autonomous and AI-driven systems. The role involves developing, productizing, and maintaining end-to-end ML workflows, including model training, evaluation, deployment, monitoring, and automation, with a strong emphasis on cloud-native and scalable solutions.

REQUIREMENTS

  • Strong experience in MLOps / ML infrastructure engineering
  • Hands-on experience with GCP services (Vertex AI, GCS, BigQuery, Cloud Run, Workflows)
  • Experience building and maintaining ML training and evaluation pipelines
  • Strong knowledge of Docker and Kubernetes
  • Experience with Kubeflow
  • Experience with CI/CD pipelines and infrastructure automation
  • Proficiency in Python
  • Experience with model registries, metadata management, and REST APIs
  • Experience with monitoring and observability tools (Grafana, TensorBoard, OpenTelemetry, tracing, alerting)
  • Experience with Infrastructure as Code tools (Pulumi or similar)
  • Understanding of data monitoring concepts (data drift, distribution shifts, performance tracking)
  • Experience working in cloud-native, production-grade environments

RESPONSIBILITIES

  • Design, develop, and productize model training and evaluation pipelines using Kubeflow, Docker, and GCP services
  • Enhance evaluation pipelines with benchmarking datasets and monitoring tools (Grafana, TensorBoard)
  • Publish and manage models and training metadata in a model registry
  • Integrate model registry and metadata services via REST APIs
  • Implement data and model monitoring, including drift detection and performance tracking
  • Build feedback loops using cloud workflows and batch processing
  • Establish and maintain CI/CD pipelines for ML workflows and infrastructure
  • Automate infrastructure provisioning and management using Pulumi
  • Integrate feature stores, self-service ML endpoints, and notebook-to-pipeline workflows
  • Support advanced ML services such as data onboarding, import/export, and sampling workflows
  • Enable additional capabilities such as LLM fine-tuning, model plug-and-play architectures, and dataset management
  • Ensure reliability, scalability, observability, and operational readiness of MLOps systems

WHAT YOU WILL GET WITH ELEKS

  • Close cooperation with a customer
  • Challenging tasks
  • Competence development
  • Ability to influence project technologies
  • Team of professionals
  • Dynamic environment with low level of bureaucracy

ABOUT ELEKS

ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991.

Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.

Mariia Sadovska
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