Who is AiDash?
AiDash is an AI-first vertical SaaS company on a mission to transform operations, maintenance, and sustainability in industries with geographically distributed assets by using satellites and AI at scale. With access to a continual, near real-time stream of critical data, utilities, energy, mining, and other core industries can make more informed decisions and build optimized long-term plans, all while reducing costs, improving reliability, and achieving sustainability goals.
AiDash is backed by top-tier investors, including Benhamou Global Ventures, National Grid Partners, Edison International, Schneider Electric and Shell Ventures. To learn more about how AiDash is helping core industries become more resilient, efficient, and sustainable, visit www.aidash.com.
What you will do?
- Build machine learning and deep learning algorithms end to end in a production setting.
- Understand the Data Science stack at AiDash, build new feature and optimise existing ones that AiDash currently has.
- Work with Product, Analytics, and Engineering teams to bring your models, and new features to life in production.
- Evaluate the performance of machine learning systems against business objectives.
- Collect, organise, interpret, and summarise Geospatial and Statistical data to contribute to the design and development of AiDash’s products.
- Mentor Interns / Junior Data Scientists during onboarding and to deliver high quality throughput
What are we looking for?
- Bachelor’s Degree in Computer Science, Electrical Engineering or similar technical field with 3 years of relevant experience.
- Theoretical knowledge and understanding of Statistics, Data Processing, and modelling.
- Practical experience in Statistical, Computer vision & Machine Learning models.
- Extensive experience in writing computer programs in Python
- Experience in Computer Vision, Machine Learning and Deep Learning frameworks (Scikit Learn, PyTorch / TensorFlow, OpenCV )
Desired Skills:
- Experience with Data Engineering and Platform related systems like Kubernetes, Docker, Apache Spark etc.
