Arbetsbeskrivning

At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development.

You will work with production-grade optimization models in a data-rich environment where analytics directly supports business decisions. The role combines discrete optimization, machine learning, data engineering, and stakeholder dialogue, giving you the chance to improve how complex decisions are modeled, deployed, and followed up in practice.

You will help develop, maintain, and scale an existing optimization solution while strengthening the surrounding data and MLOps setup. This means working across the full flow: from data wrangling and model improvement to cloud deployment, monitoring, and clear communication of results. You will collaborate closely with Data Scientists, ML Engineers, and Product Managers in an Agile setup. This is a strong opportunity if you enjoy turning advanced analytics into reliable solutions used in production.

• You will maintain and improve the existing optimization model by identifying weaknesses and implementing concrete enhancements.
• You will present model outputs and analytical findings to stakeholders, and translate business needs into technical solutions.
• You will monitor and maintain the deployed AI product on GCP to ensure robustness, efficiency, and stability in production.
• You will improve data preparation and wrangling pipelines, and integrate additional data sources to strengthen model inputs.
• You will collaborate with Data Scientists, ML Engineers, and Product Managers to improve performance, reliability, and scalability.
• You will apply MLOps practices for deployment, monitoring, and lifecycle management of machine learning models.
• You will perform ad hoc analyses and create visualizations that support data-driven decision-making across teams.

• Solid knowledge of discrete optimization models, including Linear Programming, Integer Programming, and Mixed Integer Programming.
• Proven experience developing and deploying machine learning models in the cloud, preferably on GCP, beyond notebook-based coding and execution.
• Strong Python skills, with the ability to write clean, efficient, modular, and production-ready code that is easy to maintain and test.
• Hands-on experience with MLOps and CI/CD pipelines.
• Strong SQL skills for data manipulation and analysis.
• Ability to work with diverse data sources and build robust data wrangling and aggregation pipelines.
• Familiarity with DBT for data transformation.
• Comfort working in Agile, cross-functional teams.
• Strong collaboration skills and the ability to work in complex, ambiguous problem domains.

• Experience with GCP BigQuery.
• Experience with MLOps and CI/CD pipelines on Google Cloud Platform.

• Permanent employment at Avaron AB
• Occupational pension
• Wellness allowance of SEK 5,000 per year

Selections are made on an ongoing basis – apply as soon as you can.