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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in discrete optimization models, particularly Integer Programming and Mixed Integer Programming, while effectively utilizing Python and SQL for data manipulation and analysis. Proficient in MLOps practices and cloud deployment on GCP, ensuring robust and efficient AI product performance.
Highest-signal resume keywords
Discrete Optimization ModelsPython ProgrammingGCP DeploymentMLOps PracticesSQL Data Manipulation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Discrete Optimization ModelsInteger ProgrammingMixed Integer ProgrammingPython ProgrammingSQL Data ManipulationData WranglingData AggregationMLOpsCI/CD PipelinesSoftware Architecture
Soft Skills
Effective CommunicationStakeholder EngagementCollaborationAgile Teamwork
Tools & Technologies
GCPDBT
Industry Keywords
Machine LearningAI ModelsData PreparationData Visualization
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Maintain and improve the existing optimization model by identifying limitations and implementing enhancements
- Present model outputs and analytical insights to stakeholders, turn business needs into technical solutions, and continuously incorporate feedback into the product
- Help ensure that the deployed AI product on GCP remains robust, efficient, and reliable through monitoring and ongoing maintenance
- Improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs
- Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, scalability, and reliability of the optimization solution
- Implement MLOps practices for deployment, monitoring, and lifecycle management of machine learning models
- Perform ad hoc analyses and create visualizations that support data-driven decisions across teams
Requirements
What you’ll need- Solid knowledge of discrete optimization models, including Integer Programming and Mixed Integer Programming
- Strong Python skills and the ability to write clean, efficient, modular, and production-ready code
- Experience developing and deploying machine learning models in the cloud, with strong knowledge of GCP
- Hands-on experience with MLOps and CI/CD pipelines in a production environment
- Strong SQL skills for data manipulation and analysis
- Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines
- Familiarity with DBT for data transformation
- Good understanding of software architecture and experience maintaining AI models in production
- Ability to communicate results clearly, translate stakeholder needs into technical solutions, and work effectively in Agile cross-functional teams
Benefits
Comp & perks- Permanent employment at Avaron AB
- Occupational pension
- Wellness allowance of SEK 5,000 per year
