Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
At Viaplay Group we entertain millions of people every day through our streaming services radio networks and TV channels. We believe in the power of content not just as a way of telling stories and touching lives but also expanding worlds.
Were looking for the best people to join us on our journey. Right now were searching for a Machine Learning Engineerin our Stockholmoffice are you ready to hit play on an exciting career change
The role
As a Machine Learning Engineer in Viaplays Data Science group you will play a crucial role in developing and deploying stateoftheart ML solutions that drive customer insights and market intelligence ultimately informing strategic decisions and enhancing the value of our products and platforms. You will work in an empathic and supportive team with other Machine Learning Engineers Data Scientists and Software Engineers who share knowledge and experience in researching and developing data products.
In our toolkit we already have an MLpowered recommendation system that is highly appreciated by our users. We are now at the beginning of our journey to deliver what the very best machine learning techniques can offer to the wider organization.
Some of your daily tasks will include:
- Build train and deploy machine learning models
- Optimize models for performance and accuracy and ensure they are production ready
- Conducting analyses to identify trends and patterns related to user behaviour and content consumption
- Build predictive insights recommendations and forecasting capabilities for our ML platform using advanced algorithms frameworks and libraries
What were looking for
We understand you may feel confident ticking certain boxes more than others and thats why we always keep an open mind in our recruitment process. But in order to thrive in this role we do believe youll have at least some experience in the following:
- 2 years of professional experience in a Machine Learning Engineer role or similar
- Strong grasp of statistical modelling and machine learning techniques with both theoretical and practical expertise
- Proficiency in Python and SQL experience with data transformation using Spark
- Familiarity with scalable model deployment data pipelines and the complete model lifecycle
- Excellent analytical thinking and problemsolving abilities
- Strong communication skills with the ability to effectively collaborate with both technical and nontechnical stakeholders and translate business needs into datadriven solutions
Its a bonus if you have:
- Knowledge of containerizing ML models in a cloud environment such as AWS
What we offer you
- Weve got you covered! 30 days of paid vacation every year an attractive pension and insurance scheme and generous parental leave pay lift.
- Your wellbeing matters. We provide you with various wellbeing initiatives includingwellness allowance.
- A safe space to grow and upskill. Our learning culture puts you in the drivers seat of your own development.
- An innovative environment with Hack Days once a year. This weeklong initiative allows you to think outside the box and deliver creative technical solutions that (more often than not) go on to be implemented either in our product or our ways of working.
- Entertainment is what we love and entertainment is what we do. So unlimited access to Viaplay seems only fair for you to get to know the product including serier & viewing events new release movie rentals linear channels and more.
Hit play today
If this feels like your kind of challenge make sure you apply by attaching your CV here you may also want to add your LinkedIn profile. Please dont send us your application via email because we wont be able to accept it. We do however welcome any questions you may have about this particular position.
Want to learn more about who we are and what we do Check out our careers page or follow us on Instagram! Were only ever a few clicks away.
Employment Type
Full Time
