
Maskininlärningsingenjör - Relesys - Distans - Globalt
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Jobbeskrivning
Join Relesys and shape the core of our SaaS platform, bringing your Machine Learning expertise to empower organisations to make their employee's successful! We are on the lookout for an ambitious Machine Learning Engineer to join our Engineering Team on our exciting growth journey, where you will advance our in-house Machine Learning capabilities. You will have a vital role in assuring the highest quality of our product: The market's best mobile app for employee engagement to empower and connect the frontline workers and HQ. Relesys has worked with Machine Learning and AI for several years and already delivers AI-powered features as part of our platform, developed in close collaboration with selected technology partners within areas such as predictive analytics and advanced data analysis. We are now taking the next step by strengthening our internal environments, tooling, and competencies for machine learning development. Our ambition is to increase internal ownership of ML solutions, improve how models are developed and operated in production, and ensure stronger alignment with our product architecture, data, and long-term strategy. As our Machine Learning Engineer, you will play a key role in evolving how ML is built at Relesys - working alongside existing partners, internal BI and engineering teams, and product stakeholders to mature our ML capabilities and embed them more deeply into our SaaS platform. This is an exciting and transformative time to join Relesys, as we have gone into a strategic partnership with the Private Equity fund, Copilot Capital, where the coming years will bring extensive growth and opportunities along the way. You get a unique opportunity to make a tremendous impact in taking your career, Relesys and our dear clients to the next level over the coming years - as we say, joining a scale-up at this stage is a "once in a lifetime". Your responsibilities include designing, building, training, and improving machine learning models used in the Relesys platform, with a strong focus on production readiness and long-term maintainability; taking increasing ownership of existing AI and ML solutions developed in collaboration with external partners, including evaluation, optimization, and internalization; establishing and maturing internal ML development environments, pipelines, and workflows; collaborating with product managers to translate business needs into ML use cases; working with software engineering teams to integrate ML models into backend and APIs; contributing to the design of an AI integration layer; monitoring model performance and continuously improving reliability; defining standards and best practices; ensuring solutions align with security, privacy, and ethical standards; acting as a technical sparring partner; supporting knowledge sharing; and growing internal ML competencies. You have 3+ years of hands-on experience with Machine Learning in production, strong development skills, experience deploying ML models as services, and a solid understanding of model evaluation, data leakage, bias, and concept drift. You hold a software engineering mindset, are responsible, collaborative, curious, and have excellent communication skills in English. You are located in or near Vilnius, Kaunas, Stockholm, or Copenhagen. It is a plus if you have experience with Azure ML, LLMs, NLP, embeddings, generative AI, MLOps, SaaS, security, and compliance. We offer a
Företagsinformation
| Location | Active listings |
|---|---|
| Distans - Globalt | 8 |
| Role type | Active listings |
|---|---|
| Business Development Consultant | 2 |
| Produktchef | 1 |
| Marknadsdesigner | 1 |
| Solution Enablement Associate | 1 |
| Maskininlärningsingenjör | 1 |
| Affärsutveckling | 1 |
| Copywriter | 1 |
| Role level | Active listings |
|---|---|
| Medelnivå | 7 |
| Praktikant | 1 |
Relesys finns med i 8 indexerade jobbannonser i JobCrawls Finlandsdata sedan maj 2026. I det historiska indexet är de starkaste platssignalerna för den här arbetsgivaren Distans - Globalt.
Visade data baseras på historiska jobbannonser från vår databas.
Jobbdetaljer
Utbildningsnivå
None requiredFörmåner och fördelar
Rekryteringsprocess
- 1Teams call with Talent Department
- 2In-office or online interview and casual first talk with our Head of Engineering or CTO
- 3Official Interview and Technical Challenge with the Head of Engineering, CTO and Talent, online or in office
- 4Follow-up conversation about our match – If successful, we are excited to welcome you to the team!
