[Glints Recommended] AI Engineer

Glints Recommended: This job is handpicked by the Glints team based on the company, its job description clarity and compensations & benefits provided. When applying to this job, Glints will work with the employers to respond to your application within 5 to 7 working days. Please note that only jobs with Glints Recommended line on the title are eligible for this campaign.
The hiring process includes CV screening, an initial interview with the Glints team, followed by HR personnel for cultural fit and hiring managers for related competencies. A technical test is sometimes required. Please note that some jobs would demand a different process based on the company's specific requirements and candidates' performance.
Responsibilities
Develop and deploy deep learning / machine learning models
Collaboratively work to solve research problems
Develop new algorithms and computational tools to solve research problems
Review research code created by other team members
Closely collaborate with cardiologists and clinical researchers within the organization
Experience and Requirements
BS/MS/Ph.D. in Computer Science/Software Engineering or related disciplines
Experience with state-of-the-art computer vision deep learning architectures, including for Image Segmentation and Classification
Solid experience with Python, TensorFlow, Keras, Jupyter, Git
Experience with ML frameworks such as XGBoost, SKLearn, Pandas, TFServing
Experience deploying scalable machine learning pipelines
An inquisitive and innovative mind - Strong self-motivation with the ability to deliver the occasional miracle
Ability to fit in with an extremely international team of overachievers that love working and playing hard
Nice to have
Background in medical imaging.
Software Engineering experience
Familiarity with Amazon SageMaker, Amazon Web Services (AWS), REST APIs and Docker
Familiarity with database technology such as PostgreSQL, MongoDB