Description:
Our client captures and analyses high-frequency data from satellites to enhance risk assessment, prevent equipment failures, and optimize operational efficiency. They are in search of a visionary leader to spearhead AI initiatives and significantly enhance their predictive capabilities.
The Role
- Design, build, and implement advanced AI solutions
- Work closely with engineering teams to bring models into production and enhance their performance
- Collaborate with the CTO to shape the data science strategy and roadmap, identifying untapped potential in our datasets and the global satellite network
You Should…
- Have 2+ years experience in machine learning and statistical modelling
- Have a proven track record of building and deploying ML models in production environments, with strong CI/CD skills
- Be proficient in Python and its data science ecosystem (pandas, scikit-learn, TensorFlow/PyTorch)
- Have a solid understanding of time series analysis and anomaly detection
- Possess excellent communication skills to explain complex concepts to various stakeholders
- Have demonstrated experience leading data science initiatives
- Be passionate about solving complex problems with messy, real-world data
Ideally, You…
- Have experience with large-scale sensor data and real-time analytics
- Have a solid understanding of physics and mechanical principles
- Stay engaged with the rapidly-evolving AI ecosystem
- Have experience with NoSQL databases (MongoDB) and platforms like Azure ML and Databricks
- Have expertise in signal processing and condition monitoring
- Have startup experience or have worked in fast-paced, startup-like environments
