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Who are we ?
Combine is a leading supplier of high-quality engineering services in Data Science, Software development, and Control Systems. We offer varied challenges at the bleeding edge of technology, an inspiring working environment, and enthusiastic colleagues. We have offices in Gothenburg, Lund, and Linköping. We are now looking for data- Scientists and engineers to strengthen our Data Science & AI Solutions team in Gothenburg.
Areas of Interest
Data Science, Big Data, Machine Learning, AI, Data Engineering, Cloud.
Job summary
The Data Science & AI Solutions team at Combine works with clients from various industries and sectors. We currently see a great interest in our services within data science and therefore need to strengthen our team in Gothenburg with different experts within Data Science and within Data Engineering.
Typical work consists of:
- Gathering and analyzing data
- Solving data quality issues
- Training machine learning models
- Evaluating performance, scalability and cost
- Visualizing and communicating results
- Deploying models in production environments
- Maintaining and refining machine learning solutions
Depending on the customer, you will perform projects from the Combine office or assignments at the customer’s site.
Who are you?
We believe you see yourself as a team player who enjoys contributing a unique perspective to a diverse group. You are open for feedback and generous in sharing your insights with your colleagues. You are an expert within one or more fields within data science but do not hesitate to learn more ensure a successful delivery. You have good communications skills and are able to interpret technical knowledge to colleagues and stakeholders across many different areas and technical levels.
Mandatory:
- M.Sc. or Ph.D. with a specialization in areas related to ML, AI, Computer Science or Data Engineering.
- Proficiency in programming in Python
- A few years of experience within relevant area.
Useful experience:
- Commercial data science projects
- Worked with large datasets for practical applications
- Cloud technologies including AWS, GCP, or Azure
- Deep learning frameworks Tensorflow, PyTorch, or Keras
Welcome with your application!