Senior AI/ML Platform Engineer developing ML tools and services for GSK’s research data ecosystem. Leading design and contributing to production code in a collaborative engineering environment.
Responsibilities
Serve as a key engineer for the AIML platform and contribute technical expertise to teams in closely aligned technical areas such as GenAI Platform, DevOps, Compute and Cloud
Lead design of major software components of the AIML Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews
Accountable for key component(s) of AIML Platform with particular focus on usability, reproducibility and performance at scale
Integrate with DataOps, HPC and Data Engineering products for best performance and ease of use in ML training at scale
Participate in or lead project teams and contribute technical expertise to teams in closely aligned technical areas
Able to design innovative strategies and ways of working to create a better environment for the end users
Champion best practices in ways of working and engineering discipline, and proactively contribute to improvements within your engineering area
Requirements
Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline
6+ years of experience in industry experience in software engineering with a Bachelor’s
4+ years of experience in industry experience in software engineering with a Master’s
2+ years of experience in industry and/or academic experience in software engineering with a PhD
2+ years of experience in AIML engineering, including large-scale model training and production deployment
Experience with delivering projects primarily using Python
Benefits
health care and other insurance benefits (for employee and family)
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