ML Engineer

The client is on an exciting journey towards becoming the leading fashion retailer in advanced analytics.

The AI team combines one of the industry’s largest data sets with state of the art advanced analytics and artificial intelligence to enable data driven decision-making across the full fashion value-chain.
The xAI team is a dynamic and quickly growing analytics team within the client. We focus on unlocking significant business value and are expanding to accelerate impact even further.

We are located centrally in Stockholm City and you will work in a fast-paced and dynamic environment with some of the best people in advanced analytics and AI.

As a Machine Learning Engineer, you work in cross-functional agile teams of other highly skilled Engineers, Business Analysist, Data Scientists, Designers, Product Managers and others to build the AI ecosystem within the client.

The clients believe in people and work as one team. The pace is high and we always challenge each other to think creatively. To succeed in this position, we believe that you have a pragmatic workstyle and drive towards solution with focus on delivering results.

We work within a collaborative network, drawing on and learning from the sharpest experts in each focus area. Our tech stack is flexible and we choose the tools that will be best at getting the job done.

As a Machine Learning Engineer at the clients AX team , you will work together with Data Scientists and Business Analysts in an Agile team, bring the state of art machine learning models into production.

Some of your tasks will be:

• Play a vital role in the industrialization of API at scale (Deployment, monitoring, infrastructure, software practices …)
• Collaborate with Data Scientists and Machine Learning Engineers to help them enforce good software engineering practices in order to industrialize the solutions at scale to the comprehensive fashion network of the client. You will be the voice in best engineering practices.
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code.

Mandatory requirements:
• A seasoned Machine Learning Engineer (5+ years) with strong mindset of building scalable and high quality software products.
• Experience creating unit tests, integration tests, and automation tests for production applications.
• Excellent programming skills in Python 3, not only being familiar with the language but also aware of best practices, code structure, idiomatic code and development workflow.
• Hands-on experience in different kinds of infrastructure development tasks, such as creating Jenkins pipelines, Docker containers and registries, operating Kubernetes clusters or administrating Azure services.
• Familiar with development process in agile teams, comfortable with design discussions, pair programming and code reviews.

Tools/software:
Working knowledge of
o Python 3
o Numpy, Pandas

Knowledge about common toolboxes used in the field
o Spark, Hadoop, Hive
o Scikit-learn, Keras, Tensorflow, Pytorch
o Prometheus, Grafana, ELK
• Redis, PostgreSQL, Airflow
• Kubernetes, Docker

Language skills

• English required
• Swedish a plus