Job Title: MLOps / Infrastructure DevOps Engineer
Location: Remote
Duration: Approximately 12 Months
Job Description:
We are looking for an experienced MLOps / Infrastructure DevOps Engineer with expertise in AI/ML, Data Science, cloud infrastructure, and the healthcare domain. The candidate will support the deployment, automation, monitoring, and maintenance of AI/ML models and data science platforms in secure, scalable healthcare environments.
Key Responsibilities:
Build and manage cloud infrastructure across AWS, Azure, or Google Cloud Platform.
Implement CI/CD pipelines and infrastructure automation using Terraform.
Deploy and manage applications using Docker and Kubernetes.
Support AI/ML model training, deployment, monitoring, and lifecycle management.
Collaborate with Data Scientists and ML Engineers to productionize machine learning models.
Support healthcare data pipelines and AI/ML solutions involving clinical or medical data.
Ensure data security, privacy, scalability, and compliance with healthcare standards.
Required Skills:
Experience in MLOps, DevOps, AI/ML, and Data Science.
Strong Python and machine learning deployment skills.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Knowledge of Docker, Kubernetes, CI/CD, and Terraform.
Healthcare domain experience, preferably with clinical data, EHR/EMR, or healthcare AI/ML platforms.
