- Build and scale AI/ML solutions from data exploration and feature engineering to deployment and monitoring.
- Design and maintain largescale data infrastructure for ML projects.
- Write clean futureready code and contribute to software architecture decisions.
- Create reusable ML components and services for things like A/B testing model versioning monitoring and more.
- Collaborate in agile crossfunctional teams with engineers data scientists and business stakeholders.
Qualifications :
- 5 years of experience in ML engineering (Python backend services cloudnative apps).
- Strong background in building productionready ML systems ideally in supply chain or demand forecasting.
- Skilled in MLOps data & ML pipelines cloud (GCP/Vertex AI) and modern dev practices.
- Comfortable with SQL DBT and handling both batch and streaming data.
- A team player whos familiar with agile loves solving problems and knows how to deliver highquality code.
Additional Information :
Start: Immediate
Location: (Stockholm or Remote in EU)
Form of employment: Fulltime until further notice we apply 6 months probationary employment
We interview candidates on an ongoing basis do not wait to submit your application.
Remote Work :
No
Employment Type :
Fulltime