As a Model Owner, you will be working for our client, a leading global financial institution dedicated to advancing digital identity verification technologies. In this role, you will oversee the lifecycle of machine learning and AI models, ensuring their development, deployment, and performance meet high standards. You will collaborate with various internal and external stakeholders to ensure compliance with policies and evaluate third-party models. Your focus will be on maintaining model integrity and performance while driving innovation in digital solutions used by millions of customers worldwide.
Join us, and collaborate with experts to advance machine learning techniques!
Krakow-based opportunity with the possibility to work 60% remotely (remote 3 days per week).
responsibilities :
Collaborating with data scientists, engineers, and stakeholders to define project requirements
Defining and maintaining model development best practices and standards
Evaluating and selecting appropriate algorithms and techniques for machine learning applications
Performing data exploration and analysis to identify relevant features and patterns
Conducting model performance evaluations and optimizing for accuracy and efficiency
Developing and maintaining model deployment and monitoring pipelines
Identifying and mitigating potential model bias or ethical concerns
Providing training and documentation to end-users and stakeholders
Keeping up-to-date with the latest advancements in machine learning and data science
Supporting data model governance activities with the head of delivery
requirements-expected :
Bachelor’s or Master’s degree in computer science, data science, or a related field
Solid understanding of statistical analysis and data modeling concepts
Experience with data visualization tools such as Tableau or PowerBI
Programming skills in Python or R
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work in a fast-paced and dynamic environment
Experience with model performance evaluation and optimization
Understanding of machine learning best practices and ethical considerations
Experience with model deployment and monitoring pipelines
benefits :
sharing the costs of sports activities
private medical care
remote work opportunities
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
