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About the Company 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. About the Role You will take a key role in strengthening and scaling a production-grade optimization solution in a data-intensive environment. The work combines advanced analytics, Linear Integer Programming, and MLOps, with a strong focus on making models reliable in production rather than only building prototypes. You will work across the full flow in a sophisticated Python codebase, from data wrangling and model improvement to deployment, monitoring, and stakeholder dialogue. This role is a strong fit if you enjoy turning complex business needs into robust technical solutions and want to influence how optimization models evolve in production. Job DescriptionYou will maintain and improve the existing optimization model by identifying limitations and implementing enhancements. You will present model outputs and analytical insights to stakeholders, turn business needs into technical solutions, and continuously incorporate feedback into the product. You will help ensure that the deployed AI product on GCP remains robust, efficient, and reliable through monitoring and ongoing maintenance. 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 the performance, scalability, and reliability of the optimization solution. You will implement 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 decisions across teams. RequirementsSolid 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 What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
About the Company 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. About the Role You will take on a role where advanced optimization meets production-ready machine learning. In this environment, model outputs are not just used for analysis—they are part of an AI product that needs to stay robust, scalable, and useful in day-to-day decision-making. You will work close to both technology and business, turning analytical findings into solutions that create clear value. This role is well suited to you if you enjoy moving between optimization, data engineering, MLOps, and stakeholder dialogue. You will help strengthen an existing optimization model, improve the surrounding data flows, and make sure the deployed solution continues to perform reliably in production. It is an interesting opportunity for you if you want to combine deep technical work with real influence on how AI products evolve. Job DescriptionYou will maintain and improve an existing optimization model by identifying weaknesses and implementing practical enhancements. You will present model outputs and analytical findings to stakeholders, translate business needs into technical solutions, and bring feedback back into the product. You will monitor and maintain the deployed AI product on GCP to ensure strong performance, robustness, and efficiency. You will improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs. You will work closely with Data Scientists, ML Engineers, and Product Managers to improve model performance, reliability, and scalability. You will implement MLOps best practices for deployment, monitoring, and lifecycle management of machine learning models. You will carry out ad-hoc analyses and create visualizations that support data-driven decisions across teams. You will contribute to a Python codebase where clean structure, maintainability, and production readiness are important. RequirementsSolid knowledge and experience in discrete optimization models, including Integer Programming and Mixed Integer Programming. Strong Python skills with the ability to write clean, efficient, modular, and production-ready code. Experience developing and deploying ML models in the cloud beyond notebook-based coding and execution. Experience working with GCP for data and deployment workflows. Hands-on experience with MLOps and CI/CD pipelines. 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. Comfort working in Agile, cross-functional teams. Ability to communicate clearly with stakeholders and turn business requirements into technical solutions. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.