Senior ML Engineer
New
S
SweedPosCannabis Retail Technology
Remote International, 10:00-16:00 CET (flexible per team)Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningCI/CDA/B testingMLOps
Requirements
- 5+ years of production ML / Machine Learning Engineering experience.
- Strong commercial experience with recommendation systems.
- Strong Python and SQL skills.
- Experience working with ranking, retrieval, candidate generation, collaborative filtering, embeddings, learning-to-rank, or similar recommendation approaches.
- Experience building and maintaining production ML systems.
- Experience working with offline ML metrics and online product/business metrics.
- Experience with A/B testing and experimentation.
- Strong understanding of the full ML lifecycle: experimentation, deployment, monitoring, and iteration.
- Experience building APIs or production inference services.
- Good understanding of data pipelines and working with behavioral or transactional data.
- Familiarity with MLOps, CI/CD, observability, and production reliability.
- Strong software engineering fundamentals.
Responsibilities
- Build and improve production recommendation and ranking systems.
- Develop personalization models across different parts of the eCommerce customer journey.
- Work on candidate generation, retrieval, ranking, and re-ranking approaches.
- Design personalized product feeds, carousels, content ordering, and next-best-action experiences.
- Contribute to customer behavior, demand, and product-level forecasting use cases.
- Connect recommendation systems with search and conversational shopping experiences.
- Define and track offline ML metrics and online product metrics.
- Design and run experiments and A/B tests to validate product hypotheses.
- Build scalable inference services and ML APIs.
- Improve feature pipelines, training workflows, monitoring, and internal ML tooling.
View Full Description & ApplyYou'll be redirected to the employer's site
