Senior MLOps Engineer (AI/ML Platform)

Xebia sp. z o.o. is located in Wrocław and specializes in AI/ML platform engineering and MLOps solutions.

• Proven experience in MLOps / ML Platform Engineering in production environments
• Hands-on expertise with GCP (Vertex AI) and cloud-native ML workflows, and Terraform (GCP provider) for infrastructure as code
• Strong experience with Python (3.10+), ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools (MLflow, KFP SDK)
• Experience building secure, production-grade APIs using FastAPI or Flask
• Solid understanding of CI/CD pipelines (GitHub Actions), identity & access management (OAuth 2.0, WIF)
• Experience with Slurm and HPC environments including GPU scheduling
• Strong knowledge of ML lifecycle best practices and distributed training and model deployment patterns

• Designing, building, and managing AI/ML platform infrastructure on Google Cloud Platform (GCP), leveraging Vertex AI services
• Building and operating ML pipelines including model training, evaluation, deployment, and lifecycle management
• Provisioning and automating cloud infrastructure using Terraform and integrating it into CI/CD pipelines
• Developing and maintaining CI/CD workflows with GitHub Actions and automating ML training, deployment, and retraining processes
• Developing production-grade Python solutions and designing secure, scalable REST APIs
• Implementing monitoring and observability for ML models including performance tracking, data drift detection, and system health
• Collaborating with hybrid cloud and HPC environments to support GPU-based training and large-scale ML workloads

The administrator of Personal Data in recruitment is Xebia Sp. z o.o. located in Wrocław, ul. Sucha 3. Data processing follows GDPR principles minimizing data collection. Candidates may withdraw consent any time. Contact via postal address or [email protected].