Backend Engineer (Machine Learning)
Do you want to be part of a purposeful and value-driven company on a mission to empower consumers to make smarter financial decisions? Take the opportunity to join Lendo, a leading Scandinavian marketplace for loans and Sweden's biggest comparison service for private loans, business loans and mortgages.
We are seeking a skilled and experienced Backend Engineer (Machine Learning) to join our data & machine learning team. In this role, you will bridge the gap between traditional software engineering and machine learning by deploying, integrating, and maintaining machine learning models into our production systems to solve some of our most important business challenges. Additionally, you will get the opportunity to design and build ML models. You will work together with data scientists, data engineers, software engineers, product owners, designers, and data analysts.
We value people who are solution-oriented, result-oriented, genuinely care about the things they are building, take a lot of ownership, and are collaborative. While the majority of work in this role is software engineering, an interest and knowledge of machine learning are important to be successful. If you tick these boxes and want to be part of a dynamic team that is making a difference, we encourage you to apply, then we want to hear from you.
Key responsibilities:
- Deploy, integrate and maintain machine learning models in production system in collaboration with software engineers, data engineers, and data scientists
- Continuously optimise and improve the performance of deployed machine learning models
- Work with Kubernetes, relational databases (e.g., PostgreSQL), and data warehouses to support model deployment and integration
- Ensure and enhance the scalability, reliability, security, and maintainability of integrated models and reduce the development time of new models through continuous improvements of our ML ops practises
- Stay current with the latest development in machine learning and AI best practises
Qualification:
- Bachelor’s or Master’s degree in Computer Science and/or Machine Learning or other STEM fields with equivalent experience.
- Strong programming skills in Python.
- Familiarity with cloud platforms and containerization technologies (e.g., GCP, AWS, Docker)
- Experience with Kubernetes
- Experience with event-driven architecture and microservices for integrating models in production
- Knowledge of data warehouses and relational databases (e.g., PostgreSQL)
- Good understanding of the model development life-cycle (e.g. data pre-processing, feature engineering, and model evaluation)
- Excellent problem-solving- and collaboration skills
- Proven experience to work in a high-paced environment
- Strong communications skills to convey complex technical concepts to non-technical stakeholders
Nice to have:
- Proven experience in machine learning model development, deployment, and integration
- Experience with development and implementation of large language models
- Experience in Java and Go.
- Knowledge of distributed computing
What we offer:
- A place for everyone - an international environment where we have teammates coming from 20+ different countries.
- Be a part of the Schibsted family with endless possibilities.
- Room for you to do things your way.
- We like to inspire your passion by organising hackathons, and knowledge-sharing events, as well as giving you the opportunity to join global conferences.
- You can learn lots of things through our Schibsted Learning platform, skilled sparring partners, and a good budget for competence development.
- A wellness program for yoga, meditation, running, and other activities with colleagues and coaches.
- 4 000 SEK of health promotion allowance.
- 30 days of paid leave.
- Central office location and a hybrid workplace.
- We also chip in on your pension and give you extra Schibsted shares for free if you join our share-saving plan.
- And yes, we have the industry standard perks such as team activities and fun parties!
Company: Lendo AB
Location: Stockholm
