✨ About The Role
- The Machine Learning Engineer will develop and deploy machine learning models to address critical business challenges at Gecko Robotics.
- Responsibilities include classifying valid vs. invalid signals and accurately measuring valid signals.
- The role involves identifying damage mechanisms such as cracks and corrosion from a large dataset of signals.
- The engineer will roll out models to production and develop integrations with analytical tools.
- The position requires cultivating training sets for new AI/ML problems, such as defect detection and automated repair planning.
- The engineer will work with a unique dataset that includes ultrasonic and imagery data related to mechanical integrity.
- This role is part of an expanding Machine Learning team, providing opportunities for significant growth and innovation.
âš¡ Requirements
- The ideal candidate will have over 5 years of engineering experience, with a minimum of 3 years specifically in a machine learning role.
- A strong understanding of machine learning algorithms and frameworks, particularly for time-series analysis and anomaly detection, is essential.
- The candidate should be able to read and implement machine learning research papers effectively.
- Familiarity with MLOps concepts and experience in deploying machine learning models in production is highly preferred.
- The successful individual will possess a strong sense of intellectual curiosity and a desire to engage in exploratory projects.
- They should be comfortable working both autonomously and collaboratively within a team environment.
- Exceptional communication skills and a commitment to continuous feedback are crucial for success in this role.
- A bachelor's degree in Computer Science or a closely related field is required, with equivalent experience also considered.