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
