Machine Learning Engineer till retailbolag, 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

Responsibilities

- In this role the main responsibility is setting up production pipelines for ML models, by following and improving reference architecture and best practices in the AI domain.
- With your experience you would be expected to help the team in decisions and discussions around our team’s pipelines, infrastructure, architecture, performance optimization.
- Their team consists of Data Scientists, Data Analysts, Data Engineers and Machine Learning Engineers. You will be a valuable team member where your focus will be 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
- 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
- Python, spark, azure cloud experience
- Are a hands-on person, love coding as much as breathing and would like to deploy software engineering practice into machine learning projects
- have 4+ years working experience in developing machine learning products
- As they work in a highly ambiguous area, they should always evaluate their path forward, and for this to happen they believe you should be humble yet decision oriented.
- have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation


Tools/software: - Databricks
- Azure
- MLflow


Required language skills:- English

Preferred competence and experience:

- Recommender system experience will be highly meriting
- have experience with handling high volume heterogeneous data and good understanding about data storage and data structure would be a big plus


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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!