Senior MLOps Engineer – AI Infrastructure & Pipelines

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Descripción

Unleash the Power of Intelligent Systems — Drive Innovation in AI Infrastructure! Poland-based opportunity with hybrid work model. As a Senior MLOps Engineer – AI Infrastructure & Pipelines , you will be working for our client, a leading financial institution committed to transforming its operations through cutting-edge AI and machine learning solutions. You will be instrumental in automating ML lifecycle processes, building scalable data pipelines, and deploying robust AI systems in production. This role offers the chance to work at the forefront of AI innovation, collaborating with top-tier data scientists and engineers to shape the future of intelligent automation. Your main responsibilities: 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 abreas

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