Description:

Develop and deploy Computer Vision and Machine Learning solutions to solve business problems.
Maintain clean, efficient, and scalable code that meets industry standards.
Analyze large datasets to extract actionable insights and make informed decisions.
Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models.
Influence technical direction and take ownership of key components of systems and solutions.
Collaborate with key stakeholders in the development of data-driven solutions and deployable products.
Mentor team members to establish domain expertise.
Contribute to intellectual property and technical leadership through patents and publications.

Requirements:

5+ years of industry experience in Computer Vision and applied Machine Learning.
Masters Degree or PhD in CS/ML, statistics, or related field, or 8+ years of industry experience.
3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale.
Deep understanding of Computer Vision and ML algorithms/techniques (CNNs, transformers, GANs, etc.) and experiment design best practices.
Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools/frameworks (PyTorch, Tensorflow, Keras, Scikit-Learn).
Strong data engineering skills and experience with large scale datasets.
Experience with experiment automation frameworks (Ray Tune, W&B, Kubeflow).
Experience with cloud technologies (AWS, GCP, Azure).
Fluency in Python.

Skills