AI/ML Engineer, Responsible AI
Description For AI/ML Engineer, Responsible AI
GSK is seeking an AI/ML Engineer to join their Responsible AI team, focusing on the ethical application of artificial intelligence in healthcare and drug development. This role sits at the intersection of cutting-edge AI technology and healthcare innovation, where you'll work on implementing state-of-the-art Responsible AI methods for drug discovery and biomedical applications.
The position offers a unique opportunity to impact healthcare outcomes through AI while ensuring ethical considerations are at the forefront of technological implementation. You'll be working with complex biomedical datasets and contributing to the development of AI solutions that have direct implications for patient care and drug development efficiency.
As part of GSK's dedicated Responsible AI team, you'll collaborate with research scientists, senior leaders, and other AI/ML engineers to shape and implement the company's responsible AI strategy. The role requires a strong foundation in machine learning, programming expertise in Python, and experience with major deep learning frameworks like PyTorch or TensorFlow.
The ideal candidate will combine technical expertise with a keen interest in ethical AI applications in healthcare. You'll be joining a team built on principles of ownership, accountability, continuous development, and collaboration. GSK offers a supportive environment focused on long-term career development, with leaders committed to your growth from day one.
This position is perfect for someone who wants to apply their AI/ML skills to meaningful healthcare challenges while ensuring responsible and ethical implementation. You'll be part of a global biopharmaceutical company that combines science, technology, and talent to get ahead of disease, making a positive impact on the health of billions of people worldwide.
Responsibilities For AI/ML Engineer, Responsible AI
- Apply state-of-the-art Responsible AI methods to problems in drug discovery and challenging biomedical datasets
- Support different teams across AIML and GSK in building ethical ML pipelines and software products
- Contribute to ML research on the responsible use of AI in drug discovery and clinical applications
- Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK's responsible AI strategy
Requirements For AI/ML Engineer, Responsible AI
- A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) OR equivalent work experience
- Demonstrated programming expertise in Python and experience working with different types of complex datasets
- Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow)
- Knowledge of machine learning principles and state-of-the-art modelling approaches
- Track record of research in the field of Responsible AI
- Keenness to learn fast in a new domain and to develop ML and software engineering skills
- Proactive communication and problem-solving skills
- Proven ability to collaborate with colleagues of various backgrounds and levels of seniority
Benefits For AI/ML Engineer, Responsible AI
- Medical Insurance
- Career Development
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