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Senior MLOps Engineer

extra holidays - extra parental leave
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field., 5+ years of experience in software engineering within cloud environments., Strong proficiency in DevOps/MLOps methodologies., Proficient in Docker and container orchestration tools..

Key responsabilities:

  • Curate and manage large-scale protein datasets.
  • Optimize and monitor cloud operations on GCP and Azure.
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Gini-Apps SME https://www.gini-apps.com/
51 - 200 Employees
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Job description

Description

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.



Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Adaptability

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