Machine Learning Engineer | Price & Promotion

Om jobbet

RELEX Solutions is at the forefront of developing data-driven supply chain and retail planning software. Our innovative platforms enhance adaptability, efficiency, and sustainability within the consumer goods and retail value chain. Our work makes a tangible impact by reducing waste, boosting profitability, and delivering value to our customers through our powerful software platform.

Technology at RELEX
The RELEX Price and Promotion application runs cloud-native on Google Cloud Platform and is a mix of Golang backend services and a Typescript/React single-page application. Our data platform also runs using Golang and Cadence/Temporal workflows, ingesting and enriching millions of rows of raw customer data into a hybrid data layer driven by ClickHouse and Postgres. We serve these enormous data sets and sales forecasts through a mix of pre-calculated and on-the-fly analytics that must be both user-friendly and responsive.

We offer flexibility in our work arrangements, allowing you to choose between remote or in-office work. Respect and collaboration are core to our culture, and we prioritise a genuine work-life balance while ensuring we deliver an exceptional product.

About the Position: Machine Learning Engineer

As a Machine Learning Engineer, you will join our Data Platform Team, working with a group of people dedicated to ensuring rapid client system integration, robust data management, and a scalable analytics engine. Together we make sure that the product is user-friendly, fast, powerful, and intuitive.

Join us as a Machine Learning Engineer, and this is some of what you'll be doing:

• Design and deploy new models to iteratively improve Relex Promotions' business-critical models and systems
• Support and improve our existing model operations with deployment tools and pipelines
• Imagine new feature ideas and design data pipelines to incorporate them into our models
• Improve the way we evaluate and monitor our model and system performance

We're Looking For:

• An advanced degree in a quantitative field (e.g., computer science, stats, physics, engineering)
• Solid experience in software engineering in a production environment
• Experience designing and training machine learning models to solve critical business problems
• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis

Tech We Use:

• Analytical techniques ranging from complicated to "simple": neural networks to Bayesian inference, state-space models, and linear regression
• Python, Go
• BigQuery and Dataflow
• Cadence and Google Platform products for orchestration and data analysis
• Kubernetes, ClickHouse

Across RELEX, our people are supported and rewarded. In Sweden, we go even further. As well as:

• Competitive salary
• Benefits including pension, wellness allowance, health insurance, and more
• An opportunity to work with great engineers
• Flexible remote work setup
• Modern office in central Stockholm

RELEXians can be found around the world, but here we're based in Stockholm. Our office is central and offers a fantastic base to work or socialize; you can enjoy both in the same day with collaborative, supportive working and then wine tasting, yoga, ping pong, we have it all! Your future teammates enjoy the flexibility we're known for and our calm, expert atmosphere where people come first.

Being part of RELEX means being heard, feeling valued, and knowing that you can be yourself because you belong. We believe in actions, not words, regarding diverse hiring and employment practices. We take DE&I seriously. We champion and benefit from global diversity. We're creating and evolving our culture to welcome everyone and value every idea.

We're always ready to welcome new RELEXians to our team because your enthusiasm and expertise allow us to keep innovating and creating the future of planning for retail and consumer brands. Diversity helps us succeed, so we're committed to creating an inclusive environment for everyone. If you're ready to be part of our growth, apply now!