Sr. Machine Learning Engineer

hace 1 semana

Desde casa, México Fusemachines A tiempo completo

**About Fusemachines**Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 350+ full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.**About the role****Role scope**- Research, design, and develop machine learning algorithms for computer vision, taking advantage of the unique capabilities of Apple silicon.- Collaborate with machine learning engineers and to optimize and fine-tune machine learning models for efficient execution on Apple silicon architecture.- Develop and maintain end-to-end pipelines for data collection, preprocessing, training, and deployment of machine learning models.- Explore and implement innovative techniques in deep learning, neural networks, and optimization to enhance the performance of computer vision and 3D reconstruction algorithms.**Requirements for the role**- Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.- 8+ years experience in Data Scientist or Machine learning.- Strong programming skills in languages such as Python, Swift, C, and C++.- Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow- Experience with cloud compute environments such as AWS, GCP, Azure- Solid understanding of computer vision concepts, 3D geometry, and image processing techniques.- Familiar with visionOS- Extensive experience in optimizing machine learning models for specialized hardware architectures, particularly Apple silicon.- Strong problem-solving skills and attention to detail.- Excellent communication skills both written and verbal.- Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status._7dbfoHdKlR

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