обновлено 13 часов назад
Machine Learning Engineer (AI)
5 000 - 6 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI): Building and maintaining AI features, ML models, scalable APIs, and shared LLM infrastructure serving millions of users with an accent on production-grade Python, generative AI, and system reliability. Focus on designing multimodal pipelines, agentic systems, threat detection models, and observable architectures while owning complex initiatives end to end.
Location: Helsinki, Finland; hybrid work with an expected weekly visit to the Helsinki office
Salary: €5,000–€6,500 per month, depending on experience
Company
is an AI-native cybersecurity software company building human risk management, threat detection, and response products.
What you will do
- Design, develop, and maintain AI features and machine learning models serving millions of end users.
- Build and maintain scalable APIs that integrate models directly into products.
- Develop multimodal pipelines, multi-step agentic systems, specialist ML models, and shared LLM infrastructure.
- Ensure the reliability, scalability, and observability of AI systems.
- Collaborate with product teams and product managers to scope and execute complex projects.
- Own initiatives end to end, from initial concept through execution.
Requirements
- At least 3 years of software engineering experience in production environments.
- Strong Python skills and solid software engineering fundamentals, including production-grade coding.
- Hands-on experience with LLMs, generative AI systems, and ML feature development in production.
- Experience with at least one major cloud platform, such as GCP, AWS, or Azure.
- Ability to work in a fast-moving environment, ship quickly, iterate, and take ownership of loosely defined problems.
- Ability to work in a hybrid setting and visit the Helsinki office weekly.
Nice to have
- Experience building and deploying ML models at scale or working with agentic AI workflows.
- Background in a SaaS product company.
- Knowledge of GCP, API design, observability, or scalability patterns.
- Experience with TypeScript.
Culture & Benefits
- Work in a four-person, autonomous ML engineering team with close collaboration across product groups.
- Low-bureaucracy environment with high autonomy, trust, and psychological safety.
- Flexible hybrid working model with a Helsinki office featuring a gym and swimming pool.
- Extensive healthcare and additional benefits.
- Opportunity to build AI-powered cybersecurity products focused on reducing cybercrime.
Hiring process
- 30-minute remote call with Talent Acquisition.
- 60-minute remote meeting with the Hiring Manager.
- 90-minute assignment and panel discussion at the Helsinki office, followed by reference checks and an offer.
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