Senior Machine Learning Engineer - Voi Technology
VOI Denmark ApS
YOUR MISSION AT VOI
- You will be an integral part of a cross-functional product team, contributing to end-to-end machine learning projects. This includes starting with a business problem, developing solution hypotheses, defining data requirements, creating prototypes, implementing solutions in production, and measuring their business impact
- Self-sufficiently drive and develop production-grade models with an emphasis on reliability and scalability. Collaborate with the product manager to prioritize solution paths, ensuring a focus on delivering the greatest business impact
- Enhance and maintain our machine learning platform, ensuring that Voi’s machine learning products adhere to state-of-the-art MLOps standards
- Influence and introduce strategic topics, including decisions on tech stack, enhancements to team workflows, and collaborative prioritization of product directions with the product manager, based on feasibility and anticipated business impact.
- Guide, coach, and collaborate with colleagues to enhance team and functional workflows, fostering a culture of mutual support, continuous learning, and knowledge sharing
WHAT YOU NEED TO EMBARK
We’re looking for a Machine Learning professional with experience from working in a fast-paced environment. In addition to being fluent in English, we believe the right person has:
- A higher education degree in a mathematical science such as computer science, mathematics, physics, bioinformatics, or a similar data-focused field
- A strong business sense with laser focus on business value and user impact
- Fluency in Python in particular and software engineering practices in general
- Documented experience of working with MLOps in GCP (preferred), AWS, or Azure
- Documented experience in developing production-quality software
- Hands-on contribution to managing projects from start to finish – from tackling business challenges to planning, building, launching, and keeping an eye on the results
Opslaget er indhentet automatisk fra virksomhedens jobsider og vises derfor kun som uddrag. Log ind for at se det fulde opslag eller gå videre til opslaget her: