Senior MLOps Engineer – AI Infrastructure & Pipelines

Your 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 What we offer, Stable and long-term cooperation with very good conditions., Enhance your skills and develop your expertise in the financial industry., Work on the most strategic projects available in the market., Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years., Participate in Social Events, training, and work in an international environment., Access to attractive Medical Package., Access to Multisport Program., Access to Pluralsight., Flexible hours.