This is a remote position.
We are seeking a Machine Learning Engineer (Computer Vision) to join our team.
Responsibilities:
- Lead the planning designing and running of experiments researching new algorithms.
- Collaborate with data scientists and engineers to implement and deploy models.
- Architect implement and deliver machine learning projects from inception to deployment.
- Utilize deep learning frameworks like PyTorch to build train optimize and deploy computer vision models.
- Apply best practices from software development to machine learning ensuring robust and repeatable experiments.
- Handle largescale datasets creating scalable robust and accurate computer vision systems for diverse applications.
Requirements
- At least 3 years of professional experience in a relevant field.
- Proficiency in Python and experience with ML frameworks such as TensorFlow and PyTorch.
- Familiarity with Enterprise Cloud Services (e.g. GCP AWS).
- Highly organized with a strong grasp of industry best practices.
- Handson experience with stateoftheart computer vision models (object detection classification segmentation).
Preferred Qualifications:
- Demonstrated experience in solving problems using Computer Vision.
- Solid understanding of cloud products particularly AWS GCP or Azure.
- Academic research background in the applied domain of expertise.
Benefits
- Work Location: Remote
- 5 days working
At least 3 years of professional experience in a relevant field. Proficiency in Python and experience with ML frameworks such as TensorFlow and PyTorch. Familiarity with Enterprise Cloud Services (e.g., GCP, AWS). Highly organized with a strong grasp of industry best practices. Hands-on experience with state-of-the-art computer vision models (object detection, classification, segmentation). Preferred Qualifications: Demonstrated experience in solving problems using Computer Vision. Solid understanding of cloud products, particularly AWS, GCP, or Azure. Academic research background in the applied domain of expertise.