- Location
- FI
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Experience
- 2+ years
- Closing date
- Today
- Source
- Vincere
Description
Machine Learning Engineer
Location: Helsinki, Finland (Hybrid)
An international technology company, headquartered in South America and expanding its presence in Finland, is building a new Machine Learning team in Helsinki. The company focuses on applying artificial intelligence to solve real-world problems, rapidly prototyping ideas and scaling them into robust, production-ready systems.
We are seeking an early-career Machine Learning Engineer with industry experience, a passion for rapid prototyping, and a strong understanding of scalability best practices. The team brings multidisciplinary expertise across industries and values curiosity, collaboration, and technical excellence. This is an opportunity to grow within a group of like-minded experts shaping how machine learning is practiced across the organization.
What You’ll Do
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Collaborate with teammates and clients in brainstorming sessions, prototyping sprints, and project planning.
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Manage the full lifecycle of machine learning models, including data preparation and analysis, training, deployment, monitoring, and error analysis.
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Design scalable architectures to optimize models for performance, reliability, and cost-efficiency.
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Stay up to date with the latest advancements in AI/ML and incorporate cutting-edge techniques and tools into projects.
What We’re Looking For
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2–4 years of experience in machine learning or a related field.
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Strong scripting and rapid prototyping skills (Python preferred).
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Familiarity with MLOps principles, including deployment, monitoring, and CI/CD practices.
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Solid software engineering fundamentals (version control, testing, containerization).
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Strong communication and teamwork skills.
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Curiosity, initiative, and a strong desire to learn and grow.
What’s on Offer
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Opportunities to grow into broader responsibilities while learning from experienced experts.
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Exposure to dynamic, real-world projects across multiple industries.
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A culture that values experimentation, technical excellence, and continuous learning.
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The opportunity to influence tools, processes, and the overall ML mindset within the company.
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A flexible remote/hybrid working model based in Helsinki.