MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Machine Learning Software Engineer developing automation pipelines for drug discovery at Variational AI. Collaborating with ML scientists and chemists to improve efficiency and production readiness.
Responsibilities
- Help improve existing code base by improving memory and compute efficiency;
- Develop new automation pipelines for preparing datasets and running experiments;
- Move research into production;
- Collaborate with a team of accomplished ML scientists and chemists.
Requirements
- Degree in CS, applied mathematics, statistics, physics, or related discipline;
- Mastery of Python and PyTorch, including a deep understanding of tensor object structure and its performance implications, and the ability to write new, efficient tensor operations;
- Experience in one or more of: Python extension modules, Shell scripting, Code profiling, Large datasets, including storage formats and efficient loading, Dataframe libraries, SQL, Slurm or other HPC environments, CUDA programming, Cloud platforms, Containers;
- Two or more years of experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.;
- Intellectual curiosity and drive to excel.
Benefits
- Competitive mix of cash and options
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