Data & Machine Learning Engineer
Teknik, data och digitalt · Data, AI och analys · Data engineering · Maskininlärning · Datavetenskap
I korthet
Ansvarsområden
- 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.
Krav
- 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.
Önskade kvalifikationer
- 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.
Förmåner
- Work at the intersection of Data Engineering, Analytics, and Machine Learning.
- Establish and grow data and machine learning capabilities.
- Develop technical solutions, explore new ways of working, and support the adoption of modern data-driven methods.
- Work with one of the world's most advanced Airborne Early Warning & Control (AEW&C) systems, GlobalEye.
- Contribute to initiatives from concept through implementation and operational use.
- Support colleagues and stakeholders in understanding and adopting data, analytics, and machine learning methodologies.
Färdigheter
As a leading defence and security company, we offer solutions that range from the depths of the oceans to high in the sky, on land and in cyberspace, to keep people and society safe. Empowered by our 22,000 talented people, we constantly push the boundaries of technology to create a safer, more sustainable and more equitable world. We design, manufacture and maintain advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. We are headquartered in Sweden and have major operations all over the world and are part of the domestic defence capability of several…
Företag
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för 1 dag sedan
Upphör
om 2 veckor
Anställningstyp
Heltid
Arbetsform
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Erfarenhetsnivå
Mellannivå
Platser
Göteborg, Sweden
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