Job Location: remote
- Participate in initiatives to apply AI/ML in our products together and in close collaboration with key-architects from our products. For example: ML-driven network traffic analysis, forecasting, anomaly detection, root-cause analysis and automated decision making, but also image- and video-processing and indoor-positioning
- Participate in initiatives to work out an architecture to support transition towards AI/ML supported products
- Drive and manage evaluation of available tooling to support such an architecture
- Prototype such an architecture and create the first minimal viable product
- Help Drive the next generation of 5G-Advanced and 6G autonomous network.
Your skills and experience
You have:
- Bachelors degree or equivalent experience required
- At least 10 years of experience (as a data scientist and/or ML-engineer) in Deep Learning, especially with advanced neural networks, both in theory and practice
- Extensive knowledge and experience with ML-platforms like Kubeflow, Vertex AI, Azure ML, AWS Sagemaker and in tooling for MLOps tools like Seldon, KF-Serving etc.
- Outstanding communication-, interpersonal- and teamwork-skills. This includes making presentations, leading technical discussions, and writing technical whitepapers and architecture guidelines for the R&D organizations.
- Extensive knowledge of 5G Mobile and Core networks is needed.
It would be nice if you also had:
- Knowledge and experience in handling of huge datasets (Big Data) for data-ingestion, -transformation and -engineering, both during development and in production
- Knowledge and experience in automated decision making, both in theory and practice
- Knowledge and experience in AI beyond “standard” ML, like causal-inference and -discovery, ML on graphs etc.
- Knowledge and experience with ML on edge-clouds, edge-devices and devices with restricted resources (e.g., mobile phones)
- Knowledge and experience in telecom-, enterprise- or web-scale industry in developing new and innovative approaches and setting technical directions
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