Senior Machine Learning Ops Engineer
Senior Machine Learning Ops Engineer
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Job Description
About Us
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 cuttingedge technology and high performing teams with deep expertise join us to make a difference in peoples lives!
What Youll 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 Youll Bring:
- Bachelors or Masters 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).
- Handson 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 cloudbased 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 endtoend 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 PlatformBuilders
- Were always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of whats 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 wont stop till everyone can benefit from our work.
What We Offer
- An avenue to make a positive impact on peoples lives and their health
- We believe in preventative healthcare for everyone including our team Prenuvo provides free wholebody scans to each team member
- Growth opportunities are at the heart of our people journey were 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 $142000 $175000 in local currency depending upon experience
We are an equalopportunity 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. If you are contacted by a recruiter please ensure their email address ends with @prenuvo. We do not use thirdparty 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
Required Experience:
Senior IC
Employment Type
Full Time
