What You'll Be Doing
Optimize Decision-Making with Advanced Analytical Tools: Turn insights into automated decision-making by applying cutting-edge algorithms and data science principles. Leading end-to-end development of the solution, from ideation, and design to implementation.
Design the way decisions are made in: be part of our Performance and Risk management platform – converting contractual obligations into mathematical constraints, optimizing risk profiles and yielding superior results.
Be part of a delivering, professional team: foster a culture of innovation, advocate for improvements, scaling and extension of ML tooling and value creation.
Build reliant, scalable solutions: monitor application health, track relevant metrics, and implement effective maintenance strategies.
At least 4 years of experience as a Machine Learning Engineer/ Data Scientist
BSc in Computer Science or similar. M.Sc/Ph.D – Advantage
Experience in developing ML solutions successfully, from data analysis to evaluation and deployment
Solid understanding of building production-grade services, with a good understanding of scale, distributed systems, and up-to-date software development concepts (CI/CD, dockerization & more)
Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders
Experience with distributed processing engines – specifically in spark – Advantage
Demonstrated experience in the application of MLOps frameworks and tools – Advantage
