Our Machine Learning Engineering team is a part of Data and AI Transformation dept. which is at the forefront of building intelligent solutions. We develop advanced machine learning models and data pipelines that power critical decision-making across the business and enhance our trading platform with innovative features.
responsibilities :
Designing, implementation and support of ML/AI/Data solutions as well as internal tools and systems.
Support and Maintenance of the existing solutions.
Supporting the researchers in their daily work and projects.
requirements-expected :
A skilled ML Engineer who can collaborate with researchers to turn innovative ideas into production-ready solutions
Someone who thrives in a fast-paced environment and can balance multiple priorities effectively
A problem-solver who can optimize existing systems while building new scalable ML infrastructure
A team player who can communicate complex technical concepts to stakeholders across the business
An innovative thinker who stays current with the latest ML/AI technologies and best practices
Proficiency in Python (experience with Java is a plus)
Solid understanding of database systems (SQL is a must / noSQL is a plus)
Containerisation experience (Docker)
Working experience with ML orchestration tools (Kubeflow/Airflow/Prefect)
Managing CI/CD pipelines and infrastructure (GCP/AWS/Azure/on-premises)
Solid ML knowledge (AI knowledge is a plus)
Experience with Python ML frameworks / libraries (scikit-learn/Tenforflow/PyTorch/LangChain)
offered :
Home office equipment reimbursement
Performance relate bonus
Private medical cover for you and your family/partner (Medicover)
Multikafeteria system (you can choose a multisport card, vouchers, etc.)
Life insurance (Generali)
LinkedIn Learning platform free access
Share Plans for Employees
Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture
Career-focused technical and leadership training in-class and online, incl. unlimited access to LinkedIn Learning platform
Well-being events as well as Employee Assistance Programme
Summer picnic, New Year party and other social events
3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work
App-based parking spots booking system
Stretching sessions
Wellbeing weeks
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
