Senior Machine Learning Engineer
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- Partnering with Data Science to translate experimental models into scalable, production-grade ML systems
- Designing and build high-performance, low-latency model-serving architectures and infrastructure
- Defining and enforce best practices for ML productionization, including coding standards, testing, and deployment strategies
- Leading cross-functional collaboration between Data Science, Engineering, and Operations as the primary technical interface
- Defining and implementing model performance monitoring (e.g., drift detection, data quality, inference metrics) to ensure reliability in production
- Driving innovation by evaluating new tools, frameworks, and methodologies, and promoting their adoption across the organization
- Developing and maintain technical documentation, system designs, and operational runbooks.
WHAT QUALIFICATIONS DO WE REQUIRE?
- 5+ years of experience in ML Engineering, MLOps, or closely related roles
- Proven experience deploying and maintaining machine learning models in production at scale
- Strong Python skills, including experience with data and ML ecosystems
- Familiarity with LLMs, RAG, and emerging AI paradigms (e.g., agent-based systems)
- Hands-on experience with cloud platforms (e.g., AWS) for building and operating ML systems
- Experience with containerization (Docker) and building production-ready services
- Demonstrated ability to lead technical projects and make architectural decisions
- Full professional proficiency in English
WHAT DO WE OFFER?
- 1 day per month to tackle challenges inside the project, or test new ideas
- Tech training and human skills training and, budget for conferences
- Opportunity to travel and collaborate in our various office locations for workshops or team-building events (Zurich, Geneva, Belgrade or Vienna)
- A dynamic work environment that highly fosters a sense of fun while maintaining a productive atmosphere
- Video Call with People & Culture (30 mins)
- Video Call with hiring manager (1 hour)
- Technical challenge (at your best convenience)
- Challenge presentation by video call (1h-1.5 hour)
- Offer
- 10 days fully paid sick leave per year
- 25 days of annual vacation leave
- Full private health coverage (employee + up to 2 children to age 20)
- Gym allowance
- Workation
- Hybrid & flexible working (team-based arrangement)
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