Description:
Alcon is continuously advancing their medical devices and further enabling them with connectivity features and cloud based services. Still adoption of new generation solutions is happening gradually and in the field it is common to have a mix of legacy and new solutions within one setup.
This project involves developing, training and testing AI/ML algorithm for surgical automation and generating functional modules to demonstrate the real-world clinical usage of the AI/ML algorithm.
Requirements:
- mathematics: linear algebra, calculus, theories of probability
- Machine learning: model training, evaluation, hyperparameter tuning
- Data science and MLOps experience
- CV background: OpenCV, PIL or scikit-image
- Pytorch experience
Job Responsibilities:
Task #1: Surgical video data annotation pipeline and quality-check. This task involves working with a 3 rd party vendor to enabled a streamlined process to conduct data annotation quality check and to ensure unbiased outcome from the annotation process for AI/ML algorithm development. In particular, the subtasks are,
Extract eye images from video data of cataract surgery and provide the collated data to 3rd party annotator for annotation.
Conduct quality check on the annotation data received from 3 rd party vendor, archive the data files, and convert them into the right data format for algorithm training.
Task #2: Serve as resource augmentation to train and fine-tune predefined deep learning models using the annotate dataset, as and if requested by the Alcon Med Data Science team
What We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace
diversity. We are dedicated to providing
equal opportunities for all individuals, fostering an
inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.
About GlobalLogic GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.
