Key factors at a glance
- Seniority
- Senior
- Experience
- —
- Work mode
- Hybrid
- Salary
- Not stated
- Required working language
- English
Must-haves
- Deep learning for computer vision
- Strong experience with CNNs
- Production model lifecycle experience
- Strong Python skills
- Experience with data pipelines
- B.Sc. or M.Sc. in computer science
- Fluency in English
- A commitment to writing clean code
Nice-to-haves
- Knowledge about classical computer vision
- A DevSecOps mindset
- Familiarity with cloud computing platforms
- Containerization technologies
How you match
See how your skills match this role — and what to learn to close the gap.
UnlockMarket pay
See the typical monthly range for Software Engineer roles in FI (national), from live postings.
Company hiring signal
See whether Vaisala Oyj is scaling up or slowing down, from its posting history.
Original posting
EnglishApply now » Apply now Apply Now Start apply with LinkedIn Start Please wait... a.dialogApplyBtn { display: none; } Senior Computer Vision Engineer Location: Espoo, FI #job-location.job-location-inline { display: inline; } 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. .buttontextcd4a00fab8b3dbad a{ border: 1px solid transparent; } .buttontextcd4a00fab8b3dbad a:focus{ border: 1px dashed #e54615!important; outline: none!important; } .buttontextbc19d88b94e0e4d7 a{ border: 1px solid transparent; } .buttontextbc19d88b94e0e4d7 a:focus{ border: 1px dashed #0a2a3d!important; outline: none!important; } Visit our campus in Finland and meet the team >> .buttontext65b978163f808099 a{ border: 1px solid transparent; } .buttontext65b978163f808099 a:focus{ border: 1px dashed #e54615!important; outline: none!important; } Apply now » Apply now Apply Now Start apply with LinkedIn Start Please wait... a.dialogApplyBtn { display: none; } Find similar jobs: View All Jobs Visit Career Site Privacy Policy Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. .onoffswitch.onoffswitch-inner:before { content: "Yes"; } .onoffswitch.onoffswitch-inner:after { content: "No"; } × Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Confirm My Choices Reject All Cookies Accept All Cookies // // // // Nothing is posted on your LinkedIn account. We do not login to your LinkedIn account. We do not save login credentials to your LinkedIn account. You will be joining our Talent Community using your social profile. Please ensure that pop-up blockers are disabled in order to proceed. ' },], jobID: '1373771757', locale: 'en_US', autoOpen: { open: false } }); //]]> // // const jobAlertSpans = document.querySelectorAll("[data-testid=jobAlertSpanText]"); jobAlertSpans?.forEach((jobEl) => { jobEl.textContent = window?.jsStr?.tcjobresultscreatejobalertsdetailstext || ""; }); // // // ')); $('.frequency-error').removeClass('hidden'); } else { alert(result.join('\n')); } } }); }); //]]> var linkedinhtmlexists = true; //
Shown in its original English. To apply, continue to the company's own page.