MLOps Engineer (CX)

12 months ago

Warsaw, PolandSenior

Responsibilities

Architect and manage scalable cloud infrastructure workloads, container orchestration, automated testing, deployments, logging, and monitoring.
Partner with data science and research teams to translate experimental code and models into production-ready systems.
Design and implement infrastructure as code, CI/CD pipelines, and automated deployment practices.
Build and maintain end-to-end ML pipelines from data ingestion through model deployment and monitoring.
Design scalable data infrastructure and data lake architectures using distributed computing for large-scale processing, analytics, reliability, performance, and governance.

At least 5 years of experience after completing higher education.
Production Python experience with FastAPI, Flask, testing frameworks, asynchronous programming, and concurrent system design.
Hands-on experience with AWS, GCP, or Azure and Kubernetes services such as EKS, GKE, or AKS.
Experience collaborating with data science or research teams and translating experimental code into production systems.
Strong foundations in version control, testing strategies, software architecture, and scalable data infrastructure.
Experience with distributed computing frameworks such as Apache Spark or similar for large-scale data processing.
English proficiency at minimum B2 level.
Familiarity with PyTorch, scikit-learn, NumPy, MLflow, Kubeflow, Docker, Kubernetes, vLLM, SGLang, Ray.io, Label Studio, SageMaker, or Vertex AI is preferred.

Hybrid work arrangement in Warsaw.
Long-term cooperation of at least 2 years under a B2B contract.
Access to local and international projects with clients across Europe.
Professional development support including training, technical certifications, conferences, language classes, and soft-skills training.
Medicover healthcare card, Wellbee platform access, and Multisport card.
Regular integration events, gifts, and a mobility program.

5,001-10,000 employees