AI-specialist - Lediga jobb

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. 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.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. 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.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. 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.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. 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.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. 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.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No