Our client is a new biotech startup based in a major U.S. tech hub, leveraging cutting-edge computational techniques to revolutionize gene therapy. Their mission is to push the boundaries of biotech through innovative applications of machine learning and cloud computing.
The Role
They are seeking an MLOps engineer to join their dynamic team. In this role, the successful candidate will design, build, and deploy scalable machine learning models crucial to the company's mission. They will have the opportunity to work with a team of talented scientists and engineers, taking complex computational pipelines from concept to production. Additionally, they will collaborate with leading tech companies through acceleration programs.
Responsibilities
Build and maintain infrastructure
Develop, maintain, and troubleshoot the cloud development and machine learning infrastructure
Collaborate with the scientific team and external engineering partners to implement and optimize pipelines
Requirements
5+ years of experience in MLOps / DevOps practices and tools
Experience with cloud computing platforms
Proficiency in Python, with a focus on machine learning frameworks (e.g., PyTorch)
Understanding of machine learning algorithms
Bachelor's degree or higher in Computer Science, Data Science, or a related field
Ideally a background in pharma, life sciences, biotech or healthcare companies.