Senior Machine Learning Ops Engineer - Prenuvo

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We are looking for a Senior Machine Learning Ops Engineer with experience in building and optimizing machine learning infrastructure and operational workflows. This role will focus on enabling scalable, automated, and reproducible ML pipelines to accelerate model development and deployment.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What You’ll Do

• Design, implement, and optimize scalable MLOps infrastructure to support data ingestion, model training, evaluation, and inference at scale.
• Develop and maintain CI/CD pipelines for automating ML workflows, including training, validation, and deployment of ML models.
• Build robust containerization and orchestration strategies for ML artifacts and services using Docker and Kubernetes.
• Automate monitoring, logging, and alerting for ML models in production to ensure reliability and performance.
• Establish and enforce best practices for ML model versioning, governance, and reproducibility using tools such as MLflow or Kubeflow.
• Collaborate with data scientists, ML engineers, and DevOps teams to streamline the transition of ML models from research to production.
• Contribute to regulatory documentation and compliance processes (FDA, IDE, etc.) to support ML model deployment in regulated environments.

What You’ll Bring:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in software engineering, MLOps, or ML infrastructure roles.
• Strong proficiency in Python and relevant ML engineering tooling for dependency management, packaging, testing, and deployment (e.g., Poetry, Pytest, Pylint).
• Hands-on experience with ML workflow orchestration tools (e.g., MLflow, Kubeflow, Airflow, SageMaker, Weights & Biases).
• Expertise in designing and managing CI/CD pipelines for ML applications using GitHub Actions, Jenkins, or similar tools.
• Experience with cloud-based ML infrastructure (e.g., AWS, GCP, Azure) and containerized deployments using Docker and Kubernetes.
• A strong sense of ownership, quality, and engineering best practices in ML production environments.

Nice to Have

• Familiarity with deep learning frameworks like TensorFlow and PyTorch, particularly in the context of deployment and optimization.
• Experience with medical imaging applications and regulatory compliance requirements.
• Knowledge of microservices and API development frameworks such as FastAPI, REST, and gRPC.
• Understanding of distributed computing frameworks such as Ray or Spark for ML scaling.

This role is ideal for engineers who are passionate about operationalizing ML at scale, ensuring robustness, and optimizing end-to-end ML lifecycle workflows.

Our Values

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• The base salary for this role is $142,000 - $175,000 in local currency, depending upon experience

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

Last updated: 3 hours ago