Most wanted: Technical data enthusiast with solid 3D deep learning skills.
AIPHA GmbH was founded in 2018 to deploy artificial intelligence for good. At AIPHA GmbH, you will embed yourself into a demanding but exceptionally inspiring environment with lots of room for personal growth. We are looking for colleagues who want to have a meaningful impact and shape our trendsetting product and company. High-quality work is rewarded with a steep learning curve, lots of autonomy, responsibility and swift decision-making. As a Data Engineer at AIPHA, you build the core infrastructure of the AIPHA SaaS together with colleagues from different backgrounds in a small start-up. You are responsible of designing, building and maintaining production-grade data pipelines crunching up to billions of 3D points per year and per customer. Designing and modelling complex data transformation process and implementing them in a scalable and efficient way is what motivates you. You have an eye to the detail and know how the inner workings of tensorflow or torch in general affect performance and throughput of data pipelines for point cloud processing. You like hands-on working with data and are curious to learn about groundbreaking new approaches to automated data processing at AIPHA. Your sharp analytical skills not only help you while trouble-shooting large-scale processing jobs in the cloud, but also make you excel at modelling data flows, optimising data transformation steps and tuning performance.
• Design, implement and maintain standardised production-grade AIPHA 3D data pipelines • Construct and build modern 3D data processing workflows • Train machine learning models to perform advanced data operations at scale • Translate complex customer data requirements and build them on the AIPHA cloud-solution • Implement automated tests to ensure precision/recall and runtime performance of standard data pipelines
• Master's degree in data science, computer science, or similar • Excellent programming skills in Python and C++ • Advanced technical skills related to point cloud processing. • Deep understanding of state-of-the-art data engineering approaches • Real-world implementation experience of machine learning applications • Practical experience with cloud services, ideally Amazon Web Services (AWS) • Good understanding of machine learning (ML) concepts • Getting-things-done mentality, thriving in a fast-paced environment
As part of our dedication to the diversity of our teams, AIPHA is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
To apply for this position contact the creator of the job: Message Timo Hackel
The automated vegetation monitoring of AIPHA GmbH is already helping to monitor more than 1000 km of power lines in Switzerland as protection against wildfires and blackouts.