Key Responsibilities
- Manage and maintain infrastructure, including Kubernetes GPU resource scheduling, scaling, monitoring, logging, and performance optimization.
- Develop and maintain automated machine learning pipelines using tools such as Kubeflow and Ray.
- Manage and support collaboration and productivity platforms, including Google Workspace, GitLab, and related CI/CD integrations.
- Implement and enforce cybersecurity policies and best practices to safeguard sensitive data and systems.
- Provide technical support to team members by troubleshooting hardware, software, and network issues.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in Kubernetes administration and development.
- Hands-on experience in managing machine learning model lifecycles, model serving, and distributed training.
- Proven experience in automation and strong systems engineering skills.
- Solid understanding of cybersecurity principles and best practices.
- Strong sense of ownership and responsibility, with the ability to handle urgent operational issues to ensure smooth team development and deployment.
Preferred Qualifications
- MLOps Expertise: Proficiency in MLOps frameworks and tools, such as ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC).
- Domain Knowledge: Basic understanding of biology or chemistry; experience in the pharmaceutical or biotech industry is a plus.
- Software Engineering Background: Strong foundation in software engineering, with a transition into technical operations roles.
- Security Awareness: Ability to identify security risks and implement effective mitigation measures.
- Start-up Experience: Demonstrated experience in start-up environments, showcasing adaptability and problem-solving skills.
- Production Support: Experience supporting both production systems and machine learning pipelines.
- Educational: Master’s/Ph.D. in Computer Science, a related technical field, or equivalent practical experience.
- Leadership Skills: Proven ability to lead and develop engineering teams of 3-5 members or more.
Top Skills
What We Do
GenBio.AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing the world's first AI-driven Digital Organism, an integrated system of multiscale foundation models for predicting, simulating, and programming biology at all levels.
Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology.
Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU, MBZUAI, WIS, alongside prominent financial investors.
GenBio AI, a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.







