Senior MLOps Engineer

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.
  
  

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

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

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

• 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.
  
  

• 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.