• Notera att ansökningsdagen för den här annonsen kan ha passerat. Läs annonsen noggrant innan du går vidare med din ansökan.

About the assignment:

- Location: Stockholm
- Duration: 3 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

- Pairing with Data Scientists, develop machine learning software product including but not limited to explore large data set, try out new algorithms, feature engineering, test and evaluate model output, deploy the solution for production usage.
- Design, develop and maintain the large-scale data infrastructure required for the machine learning projects
- Leverage on understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
- Develop tool and framework to address common needs in machine learning project like model traceability, feature reuse, A/B test, etc.
- • Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem

Mandatory competence and experience:

- Have a degree within software engineering or similar field (e.g. computer science and programming) and a strong will to continuously develop your engineering skillset
- Have at least 5 plus years of working experience in developing machine learning products into production
- Are experienced in one of following programming languages: Python, Scala or Java. Experience in Spark and distributed computing is seen as a merit.
- Have experience with handling high volume heterogeneous data (both batch and stream) and good understanding about data storage and data structure would be a big plus
- Have experience from working with cloud solutions
- Have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation
- Python, Docker, Git, CI/CD, cloud experience, Spark
- Meriting not required: Kubernetes, Airflow or other scheduling tool
- Fluent in English

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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!

Detta är en jobbannons med titeln "Machine Learning Engineer (retail), Stockholm" hos företaget Shaya Solutions AB och publicerades på webbjobb.io den 6 oktober 2021 klockan 16:46.

Hur du söker jobbet

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