What are the responsibilities and job description for the Computer Vision Engineer position at Chooch?
Company Description
Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a leading computer vision platform by IDC.
Role Description
We are looking for a Computer Vision / Machine Learning Engineer (US-based) to join our team. This is a full-time, remote role with frequent hands-on experience with customer projects in the Bay Area. The Machine Learning Engineer will be responsible for the successful design, accuracy, and backbone behind our Computer Vision AI applications. This includes data preparation, training, configuring neural networks, deploying networks in real customer locations, and refining computer vision algorithms for healthcare, manufacturing, and retail customers. This role requires frequent interaction with technical and non-technical customers while working closely within our solutions engineering teams. The Machine Learning Engineering role has opportunity to grow, lead technical projects, and improve current processes while providing meaningful feedback to our product and solutions teams.
Qualifications
- Proficiency in machine learning frameworks (e.g., PyTorch)
- Experience with Large-language models
- Strong programming skills in Python
- Experience with image processing and computer vision libraries (e.g., OpenCV).
- Familiarity with cloud computing services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Experience with software development, machine learning in practice, computer vision, and ML in production
- Excellent problem-solving and troubleshooting skills
- Strong communication and interpersonal skills
- Ability to work independently and as part of a team
- Comfortability on the command-line
- Experience with version control systems such as Git
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with a focus on machine learning or computer vision.
Key Responsibilities
The ideal candidate should be deeply passionate about machine learning and its real-world applications, particularly in improving and leveraging state-of-the-art neural networks to make an impact.
