FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing machine learning models, with strong proficiency in Python and experience using frameworks like TensorFlow and PyTorch. Capable of developing solutions for product recommendations and pricing algorithms while maintaining efficient data pipelines.
Highest-signal resume keywords
Machine Learning AlgorithmsDeep LearningTensorFlowPyTorchPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningPythonSQLRecommender SystemsML Systems in ProductionData PipelinesVector DatabasesPricing AlgorithmsWarehouse Logistics Optimization
Soft Skills
Written CommunicationSpoken Communication
Tools & Technologies
TensorFlowPyTorchAWSRelational Databases
Industry Keywords
Machine LearningML FrameworksCloud Service ProvidersData Volumes
Tech Stack
Tools & technologiesAWSCloudPythonPyTorchSQLTensorflow
About the role
Key responsibilities & impact- Build machine learning models with major impact on the product
- Simplify, maintain and improve existing models
- Build solutions leveraging the latest machine learning development
- Keep up with ML development through weekly team deep dives
- Use TensorFlow/PyTorch, Python and SQL
- Develop product recommendations, pricing algorithms and warehouse logistics optimization solutions
- Attend technical and case interviews as part of the hiring process
Requirements
What you’ll need- B.S. or M.S. degree in Computer Science or related field
- At least 2 years of working experience within the machine learning field
- Strong proficiency in Python
- In-depth expertise about machine learning algorithms, deep learning and LLMs
- Experience with ML frameworks such as TensorFlow or PyTorch
- Experience with AWS or similar cloud service providers
- Experience with relational databases and SQL
- Experience setting up ML systems in production
- Written and spoken fluency in English
- Previous experience with recommender systems (impressive)
- Previous experience using ML systems for item valuation (impressive)
- Knowledge of building efficient data pipelines for large data volumes (impressive)
- Experience working with vector databases (impressive)
Benefits
Comp & perks- Hybrid work from offices at Medborgarplatsen and Rosersberg and from home
- Unlimited access to a learning platform
- Monthly level-up days for professional growth
- Sellpy credits and staff discounts at Sellpy and H&M brands
- Monthly pension plan
- Social traditions including game nights, interactive planning days, guest speakers and other activities