Your main responsibilities will include:

● Training and validating machine learning models that support various vision-based production software features.

● Developing and testing real-time algorithms (heuristics) leveraging ML models to meet customer use case requirements.

● Directing and curating the collection and use of datasets for feature development and validation.

● Deep-diving into product performance issues to identify practical strategies to improve features.

● Developing and documenting high-level feature requirements, architectures, designs and test specifications.

● Evaluating and employing the latest state of the art ML models and training techniques.

● Collaborating closely with other machine learning researchers/engineers, software engineers, data engineers, technicians and customer project teams.

● Contributing to MLOps and Data pipelines and engineering practices using tools like Docker, MLFlow, and MetaFlow.