This hybrid MLOps Engineer role at Aivra Health LLC offers an exciting opportunity to contribute to groundbreaking work in healthcare AI, with excellent potential for professional growth and skill development. You'll thrive here if you're a mid-senior engineer passionate about building robust and scalable machine learning infrastructure. Apply now to join a forward-thinking team dedicated to innovation!
We are seeking an experienced MLOps Engineer to build and manage scalable machine learning infrastructure, automate model deployment pipelines, and ensure reliable operation of production AI systems. You will work closely with Data Scientists, ML Engineers, and DevOps teams to streamline the ML lifecycle.
Key Responsibilities
Build and maintain machine learning pipelines.
Deploy and monitor ML models in production.
Automate model training, testing, and deployment workflows.
Implement CI/CD pipelines for machine learning applications.
Monitor model performance and data drift.
Optimize cloud infrastructure for AI workloads.
Collaborate with Data Scientists and Software Engineers.
Maintain documentation and operational standards.
Required Qualifications
Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong Python programming skills.
Experience with cloud platforms and containerization.
Understanding of machine learning workflows and model deployment.
Strong problem-solving and communication skills.
Preferred Skills
Python
MLflow
Kubeflow
Docker
Kubernetes
AWS
Azure
Google Cloud Platform (Google Cloud Platform)
TensorFlow
PyTorch
Airflow
Jenkins
Terraform
Git
CI/CD
Linux
Benefits
Health Insurance
Paid Time Off
Flexible Work Schedule
Learning & Certification Support
401(k)
Career Growth Opportunities
Visa Authorization Questions (Use for All Roles)
Are you legally authorized to work in the United States?
Yes
No
Will you now or in the future require employer sponsorship for employment visa status (e.g., H-1B, TN, etc.)?
