AI/ML Engineer II
Description For AI/ML Engineer II
GSK is seeking an AI/ML Engineer II to join their innovative team focused on leveraging advanced applications of Machine Learning and AI to develop novel therapies and personalized drugs. The role is centered on the discovery of preclinical digital biomarkers that translate to clinical outcomes, while advancing the 3Rs framework for ethical research.
The position offers an opportunity to work at the intersection of cutting-edge AI technology and healthcare, specifically in developing SOTA deep learning models for solving real-world scientific problems. The successful candidate will be responsible for converting complex biological challenges into well-defined machine learning problems, particularly in computer vision applications for both images and video.
This role is perfect for an outstanding engineer with strong software engineering fundamentals and deep expertise in machine learning, particularly in computer vision. The ideal candidate will have experience with PyTorch or TensorFlow, and a track record of delivering production-grade AI solutions. They will work closely with diverse research scientists and contribute to GSK's mission of improving human health through technological innovation.
The position offers the opportunity to work with a global leader in healthcare, contributing to meaningful projects that directly impact patient outcomes. GSK provides a collaborative environment where professionals can grow their careers while working on challenging problems at the frontier of AI and drug discovery. The company's commitment to innovation and ethical research practices makes this an ideal role for someone passionate about using AI to advance healthcare solutions.
Responsibilities For AI/ML Engineer II
- Convert biological/drug discovery challenges into well-defined machine learning problems in computer vision
- Execute and deliver full AI/ML driven solutions from data sourcing to production deployment
- Design and implement SOTA machine learning models
- Ship stable, tested, performant code and services in an agile environment
- Engage with research scientists to solve complex problems in the preclinical domain
Requirements For AI/ML Engineer II
- Degree in quantitative or engineering discipline or equivalent work experience
- Experience in developing deep learning models for scientific problems
- Advanced skills in Pythonic programming
- Proficiency with standard deep learning algorithms and model architectures
- Experience in deep learning for computer vision
- Advanced level in PyTorch or Tensorflow
- Experience with devops stacks: version control, CI/CD, containerization
- Understanding of security and privacy best practices
Benefits For AI/ML Engineer II
- Flexible Work Arrangements
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