Do you dream of pushing the boundaries of medical imaging? Vista.ai is a small, rapidly growing startup developing cutting-edge MRI technology. We’re looking for a passionate and talented MLOps Engineer focused on the infrastructure for our ML development.

In this role, you will focus on:

Model Pipeline
- Deploy models into production environments and manage their lifecycle.
- Ensure that ML algorithms are performing as expected and meet business requirements.
- Interface between the ML and platform teams
- Strive for highly scalable, efficient, and easy-to-maintain ML systems.
Automation and Scalability
- Establish and maintain a platform catered to a small company that facilitates the entire ML workflow including
  - Model prototyping
  - Data tracking for datasets, models, and annotations
  - Training experiment tracking
  - Deployment for our clinical workstations
  - Model or data updates
- Implement robust and scalable solutions to handle large-scale data pipelines
- Integrate with CI/CD pipelines

You’re a perfect fit if you have:

- High proficiency in Python .
- Experience with building and managing self-hosted ML pipelines using tools like MLFLow, Weights and Biases, ClearML , or others.
- Experience with cloud platforms

Qualifications and Skills:

Excellent problem-solving and communication skills and the ability to work both independently and in a team.
Bachelor’s or Master’s degree in Computer Science , Data Science, or a related field.
Experience with medical imaging formats and tools including DICOM , NIfTI , and NRRD .
High proficiency with TensorFlow and PyTorch frameworks.
Strong background in machine learning , data engineering, and software development.

Bonus points for:

A strong understanding of software development best practices (e.g., version control, unit testing)
Experience with machine learning in MRI
On-site work is strongly preferred
Enthusiasm for building something groundbreaking!

To Apply

- Ready to take your career to the next level? Apply today at apply@vista.ai

Apply now

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