A tech-focused company is seeking a candidate with strong experience in computer-vision algorithms, particularly YOLO-based models for object detection tasks. Responsibilities include fine-tuning and optimizing models for edge deployment, as well as proficiency in Docker for containerizing services. Familiarity with Kubernetes and Google Cloud Platform is essential. Ideal applicants should also have experience in Python and Typescript, contributing to scalable architectures. This position emphasizes a commitment to equal opportunity employment.
Qualifications
Strong experience in computer-vision algorithms, primarily YOLO-based models.
Candidates should be proficient in containerizing FastAPI-based web services.
Familiarity with Kubernetes is essential for operating within production architecture.
Responsibilities
Fine-tuning and retraining off-the-shelf models.
Applying techniques like quantization and distillation for model optimization.
Skills
Computer-vision algorithms experience
Proficient in Docker
Familiarity with Kubernetes
Experience in Python
Experience in Typescript
Experience with scalable architectures
Tools
Docker
Google Cloud Platform
Job description
A tech-focused company is seeking a candidate with strong experience in computer-vision algorithms, particularly YOLO-based models for object detection tasks. Responsibilities include fine-tuning and optimizing models for edge deployment, as well as proficiency in Docker for containerizing services. Familiarity with Kubernetes and Google Cloud Platform is essential. Ideal applicants should also have experience in Python and Typescript, contributing to scalable architectures. This position emphasizes a commitment to equal opportunity employment.