About the Role
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We are looking for a talented and driven Data & Machine Learning Engineer to join our Airborne Early Warning (AEW) organization and help shape the future of data-driven development, testing, verification, and evaluation for one of the world's most advanced Airborne Early Warning & Control (AEW&C) systems, GlobalEye. This is an opportunity to work at the intersection of Data Engineering, Analytics, and Machine Learning, helping establish and grow our data and machine learning capabilities. As part of an emerging area within the organization, you will develop technical solutions, explore new ways of working, and support the adoption of modern data-driven methods across engineering teams.
The primary focus of this role is to build and improve data pipelines, analytics capabilities, and machine learning solutions using data generated throughout the development and testing of the GlobalEye system. You will collaborate closely with test engineers, systems engineers, software developers, product owners, and domain experts to transform complex technical data into actionable insights and scalable solutions.
Responsibilities
•Design, develop, and maintain scalable data pipelines for engineering and product data.
•Develop and improve machine learning workflows and supporting infrastructure.
•Analyze complex datasets and create solutions that generate measurable value for engineering and development teams.
•Collaborate with systems engineers, software developers, product owners, and domain experts across the organization.
•Help establish and mature data-driven ways of working.
•Identify opportunities where analytics, automation, and machine learning can improve engineering processes, product quality, and decision-making.
•Contribute to initiatives from concept through implementation and operational use.
•Support colleagues and stakeholders in understanding and adopting data, analytics, and machine learning methodologies.
About Saab
Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 30,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations.
Please include your CV, cover letter, and any relevant transcripts or certificates that showcase your qualifications and experience.
Requirements
We believe that success in this role is driven as much by mindset as by technical expertise. You are a self-driven, problem-solving, and proactive person who takes ownership of your work and thrives in environments where structures and ways of working continue to evolve. With a curious mindset and a passion for continuous learning, you enjoy exploring new technologies and approaches. You are comfortable navigating ambiguity, creating clarity when needed, and driving initiatives forward both independently and together with others. Most importantly, you are motivated by solving complex challenges, creating value through practical solutions, and helping others embrace opportunities within data, AI, and machine learning.
•Master's degree in Computer Science, Engineering Physics, Electrical Engineering, Data Science, Applied Mathematics, or a related engineering discipline.
•Experience in software development, data engineering, analytics, machine learning, or a similar technical field.
•Experience developing solutions using Python and modern data processing or machine learning frameworks.
•Understanding of data pipelines, data modeling, and modern data processing concepts.
•Ability to communicate and collaborate effectively with stakeholders across technical and executive business domains.
Nice to have
•Experience with sensor data, sensor fusion, or real-time data processing.
•Experience working with complex technical products or systems in highly engineered environments.
•Knowledge of MLOps practices, model deployment, and workflow automation.
•Experience with cloud-based Data & AI platforms.
•Experience with technologies such as Delta Lake, Iceberg, Kafka, Spark, Airflow, Dagster, MLflow, PyTorch, Pandas, JAX or other large-scale data & machine learning tools.
•Military service and/or defence-related experience.
Additional Condition
This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.
