Programmerare - Lediga jobb

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

As a Gameplay AI / ML Engineer at Embark, you will be working on ARC Raiders, alongside some of the most talented people in the games industry.

We believe that great games are made in creative environments, where builds are always playable, and teams can move fast and test as many ideas as possible. In close collaboration with our designers, you will create easy-to-use systems that enable us to iterate quickly and that encourage experimentation.

Our AI team consists of a set of gameplay engineers, working on "classic" gameplay AI, and a set of Gameplay / ML engineers that further expand our tech in what is possible to achieve in AI for games.

In this role you will work closely with both our ML team and Gameplay AI team, training, building, innovating and researching new tech that can further advance our emergent AI experience in ARC Raiders.

Example of responsibilities 

• Work closely with stakeholders and game teams to prototype new RL locomotion platforms
• Research, develop, and train RL models
• Provide model performance analyses and visualizations
• Improving our game-side training framework to make it easier to train, create and debug our models and platforms.
• Look for opportunities to apply new tech in gameplay AI to promote more emergent gameplay
• Stay current with new research and share that knowledge with the rest of the team

We would love if you have

• A creative and curious mind
• A strong C++ background
• Experience in Unreal Engine
• A strong background in gameplay engineering
• Can speak "design"
• Professional English communication skills.

Additionally, we think it would be a great bonus if you have

• Experience designing reward functions
• Experience training curriculums
• Experience from implementing and evaluating ML methods
• Knowledge about reinforcement learning-specific optimization algorithms
• Some programming skills in Python

 At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together.

We welcome game makers of all sex, class, colour, age, gender identity, education, religion, opinion, culture, nation of origin, language, sexual orientation, shape, size, and ability.

Did we leave anyone out? Well, we welcome you, too! We think that the gaming industry is made better when everyone has a seat at the table.

Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!