Machine learning engineer h1.location_city
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Machine learning engineer • usa
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Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.Work closely with Client and dat...[show_more][last_updated.last_updated_30]
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About the Institute of Foundation Models.We are a dedicated research lab for building, understanding, using, and risk-managing foundation models.Our mandate is to advance research, nurture the next...[show_more][last_updated.last_updated_variable_days]
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Tiger Analytics is looking for experienced.Gen AI experience to join our fast-growing advanced analytics consulting firm.Our employees bring deep expertise in Machine Learning, Data Science, and AI...[show_more][last_updated.last_updated_30]
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- [job_card.full_time]
[job_card.job_description]
Customer Job
Machine Learning Engineer
Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote