Machine Learning Engineer (retail), Stockholm

About the assignment:

- Location: Stockholm
- Duration: 6 months
- Start: TBD
- Apply: as soon as possible
- Extent: 100%
- Please note that the mandatory requirements have to be met in full in order for us to present your profile to our Customer.


Description

As a Machine Learning Engineer you will join the client's content personalization and platform team that develop scalable and reusable components needed to enable real-time personalization use cases. These components cover model serving of supervised/unsupervised machine learning models, streaming of real-time events incl. storing & abstracting this data.

Your mission is to work with software engineers and data scientists to build large scale systems in the cloud including:

- Automatic model training and deployment
- Setup and automate elastic infrastructure in cloud
- Large scale A/B testing


Mandatory competence and experience:

- We are cloud native on Azure, so people with Azure experience will be beneficial.
- Experience with feature store for online serving, we will probably leverage Azure Cosmo DB as look up table, also Azure Event Hub as message
- Experience from Azure DevOps for CICD
- Strong QA experience, draft test spec for stability test, performance test, e2e integration test etc.
- For InfraAsCode, would be good have at least one person, focus on Infra automation, also network, security setup etc. Then the person should have enough Azure experience.
- For model development, we love Databricks and Mlflow (for model management)
- Fluent in English
- Technical skillset: - Python > 5 yrs
- Software Development > 5 yrs
- (Py)Spark > 2 yrs
- Machine Learning > 2 yrs
- Data Wrangling > 3 yrs
- Model Management > 1 yrs
- Public Cloud > 1 yrs
- Bonus: DevOps



- Well recommended on teamwork, communication/presentation skill, and being creative
- Exposure to agile ways of working, e.g., scrum or kanban


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How to proceed with the process

- Apply for the assignment through this ad.
- State your preferred hourly rate in the application.
- Upload your CV in word format.
- We will revert to you if we need further information or clarification regarding your application.
- The Customer usually reverts to us within 10 working days from the last application date. We aim to get back to you promptly with any new information regarding your application or the assignment. If you have not received any information from us within this time frame, please contact us through our platform.


You will be informed about the Customer should you be called to an interview.

About Shaya Solutions

Stockholm based consultancy and competence firm with focused on IT, Management and Technology.

We focus on customer / consultant satisfaction and quality in our services offered throughout Sweden.

Our core values are Humility, Perseverance and Flexibility.

Please do not hesitate to contact us if you have any questions.

We politely decline all contact from ad vendors. Many thanks!