Senior MLOps Engineer

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 abreast of emerging trends and new practices in AI infrastructure and MLOps You're ideal for this role if you have: 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, both written and spoken It is a strong plus if you 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 Language Required for the role: Fluent in Polish and English, both written and spoken Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.