Senior MLOps Engineer – AI Infrastructure & Pipelines

Our client is a leading financial institution focused on transforming operations through AI and machine learning solutions.

• Minimum 4 years of experience in MLOps, AI Infrastructure, or related engineering fields
• Strong proficiency in Python and scripting languages such as Bash
• Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, or similar
• Knowledge of containerization and orchestration technologies including Docker and Kubernetes
• Experience working with cloud platforms (AWS, Azure, or GCP) for ML and data pipelines
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Deep understanding of data pipelines, ETL processes, and workflow orchestration tools
• Experience with model monitoring and observability tools such as MLflow, Prometheus, or Grafana
• Excellent problem-solving skills and capacity to work effectively in cross-functional teams
• Fluent in English and Polish, both written and spoken

Nice to have:

• Certification or hands-on experience with Kubernetes, AWS/Azure certifications, or equivalent
• Knowledge of security and compliance standards relevant to data and AI systems

• Design and maintain CI/CD pipelines for machine learning models
• Automate deployment, testing, and monitoring of AI solutions in production environments
• Manage cloud-based infrastructure on AWS, Azure, or GCP and optimize resources for ML workloads
• Collaborate with data scientists to ensure reproducibility and scalability of experiments
• Implement model monitoring and performance tracking systems using tools like MLflow, Prometheus, or Grafana
• Troubleshoot and resolve production issues promptly to ensure continuous system uptime
• Document workflows, processes, and infrastructure configurations clearly and comprehensively
• Apply best practices for security, compliance, and data governance within AI pipelines
• Support ongoing improvements of MLOps tools, frameworks, and processes
• Stay abreast of emerging trends and new practices in AI infrastructure and MLOps

Only candidates with an existing legal right to work in the European Union will be considered for this role.