Senior Computer Vision Engineer
At a glance
Senior Machine Learning Engineering role at Vaisala. Espoo.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Train, assess and release models for RoadAI’s pavement detection and classification systems
- Build computer vision models for segmentation, detection and classification tasks
- Shape data pipelines that make processing and model training more efficient
- Work with computer vision instructors, developers, product leads, sales and marketing
What you bring
- Strong deep-learning experience in computer vision, including CNNs, model metrics and threshold tuning
- You’ve taken production models through their lifecycle, including ML pipelines and MLOps work
- Strong Python skills plus hands-on use of TensorFlow and PyTorch
- A computer science degree at bachelor’s or master’s level, or equivalent experience, and fluent English
Who this fits
This senior engineering role suits someone who can work independently and explain technical ideas clearly while collaborating across teams. The role is based in Espoo or Lappeenranta, Finland, and requires current eligibility to work in Finland.
From the employer
We are looking for a Senior Computer Vision Engineer to join our Vaisala Xweather RoadAI team at Espoo/Lappeenranta, Finland. Join us to build impactful computer vision solutions with talented colleagues, modern tools and the flexibility to do your best work.
Vaisala is a global leader in measurement instruments and intelligence, helping industries, nations, people, and the planet thrive. From predicting hurricanes to optimizing renewable energy production, our technology is used where it matters most—from data centers, wind farms, and laboratories to airports, the Arctic, and even the surface of Mars.
Vaisala Xweather brings weather intelligence to decision-makers in every weather-sensitive business. By combining local sensor data with advanced AI predictions, we deliver precise and actionable weather insights. Our tools are transforming how the world manages weather, turning what was once seen as uncontrollable chaos into manageable, even advantageous insights.
Why join us?
- Be part of an awesome team of passionate and talented people.
- Work in an exciting and meaningful domain that makes a global impact.
- Choose the tools that work best for you – whether it's your favorite laptop or preferred OS.
- Enjoy a flexible hybrid work setup that suits your lifestyle.
What's your role?
You will be part of our RoadAI team of strong professionals. RoadAI combines a user-friendly AI tool with high-quality geospatial video data and reliable methodology to simplify and improve pavement inventory and management. In this field you will own model training, evaluation and deployment for RoadAI's detection and classification stack. You will contribute to developing and implementing machine learning models for computer vision tasks as well as designing and optimizing data pipelines for efficient data processing and model training. We are looking for creative engineers and technologists that enjoy being challenged and are enthusiastic about creating great products and innovative solutions.
In this role you will be working in close co-operation with our computer vision instructors, development team, product leads, sales and marketing. You will report to Head of Development.
What will you bring?
Core qualities
- An open mind, strong communication skills, and a collaborative approach to teamwork
- A proactive can-do attitude with the ability to work independently
- Excellent problem-solving skills and the ability to present technical information clearly
- A commitment to writing clean, maintainable, efficient code
- A habit of staying current with rapidly evolving AI tooling for modern methodologies and AI-driven development
Professional expertise
- Deep learning for computer vision, including segmentation, detection, and classification
- Strong experience with CNNs, model evaluation, metrics, and threshold tuning
- Production model lifecycle experience, including ML pipelines and MLOps engineering
- Strong Python skills and experience with TensorFlow and PyTorch
- Experience with data pipelines and ETL processes
- B.Sc. or M.Sc. degree in computer science or equivalent experience
- Fluency in English
Bonus skills
- Knowledge about classical computer vision and projective geometry
- A DevSecOps mindset with an eye for secure and efficient workflows
- Familiarity with cloud computing platforms (especially AWS) and containerization technologies
For additional information please contact Stefan Brunig, stefan.brunig@vaisala.com. Please note that applications sent via email cannot be processed due to privacy reasons. Please note that you need to be currently eligible to work in Finland.
Ready to take every measure for the planet? Apply at the latest on November 1st, 2026 via the application form.