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Technologies-expected : Python Google Cloud Platform Java technologies-optional : Docker Apache Airflow Terraform about-project : As an MLOps Engineer, you will be working for our client, a leading organization in financial services, committed to innovation and leveraging cutting-edge technology. You will play a crucial role in driving the success of Machine Learning operations by collaborating with Data Scientists to translate complex models into scalable production solutions. Your expertise will help establish robust pipelines, deploy models on Google Cloud Platform (GCP), and ensure efficient integration between cloud and on-premises environments. Your contributions will directly improve the organization’s ability to detect financial anomalies and reduce false positives through advanced ML tools. Join us, and contribute to high-impact AI solutions for financial services! Krakow-based opportunity with the possibility to work 80% remotely! responsibilities : Collaborating with Data Scientists to prepare and preprocess data for model training Assisting in feature engineering and selection to optimize model performance Deploying and managing ML models on GCP’s Vertex AI platform Developing techniques to visualize and explain model behavior in line with guidelines Building and maintaining ML pipelines for model training, tuning, and deployment Implementing automated monitoring and alerting systems for model performance tracking Developing data quality checks and validation procedures in line with retention controls Implementing security measures to protect sensitive data and models Establishing best practices for ML Ops, including version control and CI/CD pipelines Identifying performance bottlenecks in ML models and optimizing pipelines for efficiency requirements-expected : Strong proficiency in Python for data engineering and pipeline development Hands-on experience with GCP tools, including Big Query, Cloud Composer, and Vertex AI Solid experience in building and maintaining scalable ML pipelines Expertise in MLOps principles and the tools that support them Proficiency in version control and CI/CD practices Strong problem-solving and analytical skills to troubleshoot and resolve issues Experience with Java (optional, but beneficial for certain tasks) Knowledge of cloud infrastructure and deployment strategies Familiarity with data quality and retention controls Ability to work collaboratively across teams to achieve project goals offered : 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 benefits : sharing the costs of sports activities private medical care flexible working time fruits integration events corporate gym mobile phone available for private use computer available for private use saving & investment scheme no dress code coffee / tea drinks christmas gifts birthday celebration sharing the costs of a streaming platform subscription access to +100 projects access to Pluralsight