GO developer for ML Platform

Gothenburg, SE, 40531

Volvo Group

13 brands. 105,000 employees. 190 markets. Trucks, buses, construction equipment, marine and industrial engines. Complete solutions for financing and service.

View company page

Fuel for mobility


We are turning big and bold digital visions into reality. By developing our digital ecosystem we are enabling people to live simpler, safer and more sustainable lives. We're seeking curious and creative engineers who want to change the world. One line of high-quality code at a time.
 

About the team

We are a team of creative and skilled engineers at a central Platforms unit at Volvo Cars. We are driven by curiosity and a common goal. We believe in self-development, work-life balance, and flexibility.  We work with a modern tech stack and we learn something new every day. We love solving hard problems with creative solutions and we believe in collaboration.
 

What you’ll do

As an engineer in this team, you will design, develop, and maintain robust end-to-end capabilities for our Machine Learning Platform that enable data and analytics teams across the organization to deliver value from data, whilst creating a culture of collaboration and data excellence. You will advocate the practice of applying software engineering principles to ensure the reproducible development of reliable and innovative ML products.
 

What you’ll bring

As a part of our MLOps team, you will be an empowered member of a committed, cross-functional team that develops Volvo Cars’ ML platform in collaboration with stakeholders across the company. In this role, team contributors thrive best. We envisage that you embrace agile working principles, enjoy solving problems, and are committed to learning and development. We expect you to have solid experience in software development. An awareness and interest in Machine Learning is a distinct advantage.
 

You also have
 

•    Proficient knowledge in both Go and Python
•    Proven software development experience and understanding of software design patterns
•    Experience in microservice development
•    Familiarity with Kubernetes and cloud-native applications
•    An interest in Machine Learning
•    Experience in platform development 
 

Good to have experience
 

•    You have implemented or worked with a controller(s) in Kubernetes
•    You have some experience with networking and service mesh
•    You are familiar with GitOps
•    You have experience in CI/CD
 

Sounds interesting? We hope so
 
We’d love to receive and review your application. We welcome you to apply in English as soon as possible, we will go through applications on a regular basis.  Please apply through the provided link. Applications submitted via email will not be retained or taken into consideration. Once you receive a confirmation email from the system, your application will be acknowledged.
  
Location for this position can be in either Gothenburg or Stockholm.
    
 

Volvo Cars - Driving change together
 

Volvo Cars’ continued success is the result of a collaborative, diverse, and inclusive working environment. Today, we are one of the most well-known and respected car brands, with over 40,000 employees across the globe. At Volvo Cars, your career is designed around your skills and aspirations so you can reach your full potential.

 

By 2025, we aim to sell 1.2 million cars annually, 50% of which will be electric vehicles and sold directly to customers through digital channels. Continue your journey of a lifetime as we create the driving and electrification technologies of tomorrow.
 

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile CI/CD Engineering Kubernetes Machine Learning MLOps Python

Perks/benefits: Career development

Region: Europe
Country: Sweden
Job stats:  11  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.