AI/ML Engineer II
Description For AI/ML Engineer II
GSK, a leading global biopharma company, is seeking an AI/ML Engineer II to join their innovative team focused on leveraging advanced Machine Learning and AI applications in drug discovery and development. This role is central to GSK's vision of developing novel therapies and personalized drugs through cutting-edge AI technologies.
The position offers an exciting opportunity to work on transformative projects in the intersection of AI and healthcare, specifically focusing on the discovery of preclinical digital biomarkers that translate to clinical outcomes. You'll be working with state-of-the-art deep learning models, particularly in computer vision applications, to solve complex biological and drug discovery challenges.
As an AI/ML Engineer, you'll be responsible for the full machine learning lifecycle - from problem formulation and data sourcing to model development and production deployment. You'll work closely with research scientists, contributing to projects that not only advance medical science but also support ethical research practices through the 3Rs framework.
The ideal candidate brings strong technical expertise in deep learning, particularly in computer vision, combined with excellent software engineering practices. You'll need proficiency in PyTorch or TensorFlow, experience with devops practices, and a solid understanding of machine learning best practices. While the role requires technical excellence, it also offers the opportunity to work on meaningful projects that directly impact human health and medical advancement.
GSK offers a collaborative and inclusive work environment, with opportunities for professional growth and development. The company's global presence and focus on innovation make this an ideal position for someone looking to make a significant impact in the healthcare industry through AI applications.
Responsibilities For AI/ML Engineer II
- Convert biological/drug discovery challenges into machine learning problems, particularly 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 working culture
- Inclusive workplace environment
- Career development opportunities
- Global company exposure
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