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Deep Genomics, founded in 2015, leverages artificial intelligence to pioneer drug development in the domain of RNA biology and therapeutics. Their advanced AI platform uncovers novel targets and molecules beyond the reach of traditional methods. The company brings together a diverse team skilled in various disciplines, including machine learning, statistics, bioinformatics, and software engineering. Based in Toronto and Cambridge, Deep Genomics fosters an environment ripe for innovation in healthcare.
Deep Genomics is seeking a seasoned Senior MLOps Engineer dedicated to enhancing the performance, scalability, and reproducibility of training and inference pipelines. The role entails collaborating with teams across the organization to craft new systems and overhaul existing ones, creating new infrastructure and processes. This presents a unique opportunity to take charge of how Deep Genomics consumes genomic data and integrates it into applications.
The ideal candidate for this role has over 3 years of relevant experience, can navigate a dynamic field, and possesses the capability of uplifting the skill set of their peers. They will be responsible for deploying models, managing machine learning infrastructure, shaping ML infrastructure, and ensuring adherence to CI/CD best practices. A background in startups, biological, or genomic data is a plus.
Key responsibilities include packaging and deploying models, designing and implementing deep learning models, and managing machine learning infrastructure. Candidates should rapidly prototype proofs of concept, test models extensively, and nurture continuous deployment and integration practices across the team.
Apart from a competitive salary and equity compensation, Deep Genomics offers comprehensive benefits, remote work flexibility, and the chance to be part of a world-class team. Employees at Deep Genomics have the potential to impact patient lives significantly through cutting-edge scientific and technological breakthroughs.
Deep Genomics is committed to inclusivity and welcomes applicants with disabilities. They ensure accommodation for candidates in all parts of the selection process and appreciate all applications, although only those selected for an interview will be contacted.
This job offer was originally published on RemoteOK
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