Machine Learning Engineer
Reaktor is hiring a Machine Learning Engineer for a remote role open to applicants in Finland. Level rates it ; you can apply on Reaktor.
Level's read on this job
- Little AI ●○○○ is how Level rates this machine learning engineer role: aI is not part of the work.
- The posting lists this role as remote.
- Level classifies it as a mid-level role.
- Level lists 13 other open roles at Reaktor.
AI in this role
Reaktor is looking for Machine Learning Engineers to join us in Helsinki.
Turn proof of concepts and ideas into production-grade AI services.
If you are interested in building and deploying bleeding edge machine learning models into production, where they continuously deliver tangible value to our customers, you might just be what we’re looking for.
As a Machine Learning Engineer at Reaktor, your job is to turn proof of concepts and ideas into production-grade AI services, help your team succeed, and deliver results.
At its core, Reaktor is a technology company that helps ambitious organizations become digital leaders. From premium software development to digital transformation, our global community of experts do it all – here are some of our most recent digital ventures to give you an idea of what that means.
Your daily tasks include:
Working together with the client’s tech and business teams and helping them pick the right technologies suitable for their needs
Delivering the client and the team according to the needs of the project
Building, deploying, and maintaining ML models that serve users reliably in production day after day.
Creating architectures for the continuous gathering of new training data for ML models
Building interfaces for delivering the results of ML models to end users
Other software development-related tasks, such as debugging, designing, and participating in creating the architecture
You enjoy designing scalable machine learning architecture that processes vast quantities of data and delivers refined results to end users.
To thrive in this position, you'll need
Hands-on experience in continuously developing and deploying machine learning models
We don’t have a hard limit on years of experience, but we’ve noticed that these Machine Learning competencies often take 3+ years to accumulate
Experience with common tools, libraries, and platforms in the field of machine learning
A good grasp of common machine-learning techniques
An understanding of infrastructure-as-code practices (e.g. Terraform, CloudFormation, CDK)
Cloud development experience (AWS, Azure, GCP, etc.)
A solid programming foundation (Python required, other languages are a plus, for example, Java, Javascript/Typescript, C++)
Experience working on data with SQL
You are a software engineer at heart and you don't leave a legacy behind
Good communication skills and the ability to work with clients to figure out their data needs
Fluency in both English and Finnish is preferable
Why join us?
For two decades, we’ve been developing qualities and capabilities for adapting, reacting, and supporting change – building Reaktor to hold up in a fast-paced environment while ensuring the well-being of our people.
While working at Reaktor, we’ll provide you with:
The ability to impact how you work. Together with the client, your team chooses the approach, technologies, and methodologies you think will work best in any given situation
A community with as much support as your heart desires
A team that’s not only experienced but considerate as well – they all want you to succeed
A sustainable work-life balance and support for your daily life outside of work. (e.g., free moving day, Reaktor car share, sick child care services, office space to use for your private events, etc.)
An opportunity to grow as a professional. In addition to the day-to-day work, we offer internal training courses, community events, and 15-minute coffee breaks to discuss hot topics in tech and design
A possibility to take part in more extended academy-like studies like Cloud Academy
300+ hobby clubs, from winter swimming and running to knitting and archery, that bring people together outside of (and sometimes inside) office hours. Many of these are supported by Reaktor
Check more benefits & perks below
Diversity, equity, and inclusion
Together, we are committed to making Reaktor an environment that embraces and values all of our employees for the whole of who they are. We encourage applicants from all backgrounds to apply, knowing that studies show that members of underrepresented communities don’t apply for jobs unless they fully satisfy all of the requirements. If you're thinking twice about applying for this reason, we invite you to send us your application anyway. You could be just the person we're looking for.
Read more about our DEI work here.
Interested? Drop us a line – We'll be happy to hear from you!
How we rate this
Machine Learning Engineer at Reaktor rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $200k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
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