Machine Learning Engineer
As a Modulai ML Engineer you will get exposed to some of the worlds most challenging problems in applied ML. Together with your team you will take full responsibility for success.
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MACHINE LEARNING ENGINEER
As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient.
You will have to analyze the problem at hand, come up with a solution strategy and execute it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data, and then re-formulating it as an ML problem. It requires openness, creativity, and an eagerness to learn new methodology and explore new terrains.
We approach these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.
NOTE:
We are looking for ML Engineers with +2 years of experience with ML in production.
To Apply we require a work VISA for Sweden or Switzerland. Currently, we do not offer sponsorships.
Our Stack
- Python / R – standard open-source libraries
- Scikit-learn and various specialized Python and R ML libraries
- Deep learning frameworks such as Pytorch and Tensorflow/Keras
- Cloud platforms such as GCP, AWS, and Azure
- Relational database management systems
- Distributed processing such as Apache Spark
Responsibilities
- Analyzing and planning problems, solutions, and delivery
- Preprocessing, feature engineering, and dataset creation
- ML model development
- Validation of results
- Data pipelining and infrastructure development
Background & Skills
- MSc or Ph.D. in a quantitative field
- Excellent understanding of a broad set of ML algorithms and frameworks
- A passion for lean, clean, and maintainable code
- The desire to grow and to share insights with others
- Experience from ML i production
Helpful knowledge
- Deep learning frameworks and theory
- Data pipelining and infrastructure
- DevOps experience, CI/CD, Kubernetes
About Team Modulai
At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well as building our own ML products.
Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!
- Teams
- ML engineering
- Role
- Machine Learning Engineer
- Locations
- Gothenburg, Stockholm, Basel
Bringing fun to work
We enjoy traveling together, visiting innovative companies and organizations, new cities, and memorable places.
We spend an incredible amount of time of our lives at work; therefore, we believe that we become more successful as a team and business by incorporating fun into work. Daily life at work involves breaks for video games, dog cuddles, and just hanging out. We are a group of friends and make sure to experience life together both inside and outside of company life. Yearly skiing trip, visiting AI conferences and company kickoffs have become appreciated traditions by now.
Machine Learning Engineer
As a Modulai ML Engineer you will get exposed to some of the worlds most challenging problems in applied ML. Together with your team you will take full responsibility for success.
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