Offer summary

Qualifications:

MS or PhD in a quantitative field such as Computer Science or Statistics, preferably with a thesis on computer vision., Previous industrial experience in deep learning for image processing or healthcare., Demonstrated experience with Python and analysis of image-like data., Strong knowledge in supervised and semi-supervised machine learning..

Key responsabilities:

Collaborate with AI and imaging scientists on machine learning projects including semantic segmentation and object detection.

Work with clients and data engineers on end-to-end machine learning and data pipelines.

Engage in the development and implementation of machine learning models.

Communicate effectively with team members to ensure project alignment and success.

What do we do? Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups. To whom do we cater? Industries: Technology, Media, Telecom, Pharma, Healthcare, Banking & Finance, Retail Where are we headed? We are driven to leverage our innovation and deep expertise to create a long-lasting impact for our customers and stakeholders. What drives us? • We believe in delivering sustainable and future-driven solutions. • We believe in enabling everyone that works with us – from clients to partners to employees. • We believe that the future belongs to those who Love the New – which is why we are constantly reinventing and innovating NEW solutions to enable businesses to stay ahead of the competition.

Job description

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

Required profile