A revolutionizing biotechnology company is seeking a Senior MLOps Engineer to join her transformative team and vision.

Role Overview:

As a Senior MLOps Engineer, you will be pivotal in bridging our AI innovations with scalable, reliable production systems.

Your expertise will drive the efficiency and effectiveness of our platform.

Key Responsibilities:

Data Management:

• Curate and manage large-scale designed protein datasets.
• Ensure data integrity, accessibility, and security across platforms.
  
  

Cloud Infrastructure:

• Optimize and monitor cloud operations on GCP (primary), and Azure.
• Implement best practices for cloud resource management and cost optimization.
  
  

DevOps/MLOps Practices:

• Establish and maintain software standards and deployment pipelines.
• Automate CI/CD processes for machine learning models and applications.
  
  

Containerization:

• Dockerize applications for scalability and portability.
• Manage container orchestration using tools like Kubernetes.
  
  

Software Development: Collaborate on developing and deploying scientific software tools.

Tooling and UI/UX: Develop internal tools and GUIs to enhance team productivity.

Requirements:

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in software engineering within cloud environments (GCP preferred).
• Strong proficiency in DevOps/MLOps methodologies.
• Experience with cloud infrastructure deployment and management.
• Proficient in Docker and container orchestration tools.
• Solid programming skills in Python or similar languages.
• Quick learner with the ability to adapt to new industries and technologies.
  
  

Advantage:

• Experience in biotech or life sciences.
• Familiarity with data warehousing solutions.
• Proficiency in SQL or similar database languages.
• Experience with machine learning model training and inference.
• Knowledge of UX/UI development principles.