Job Description
About the Role
This position requires a highly skilled MLOps Engineer to design, develop, and maintain efficient data pipelines for machine learning model deployment.
Candidate Requirements
- Hands-on experience with cloud platforms and MLOps tools.
- Strong understanding of software development methodologies.
- Ability to collaborate with cross-functional teams.
- Ensures compliance with industry standards and regulations.
Main Responsibilities
- Data Pipeline Development:
- Implementing CI/CD workflows on cloud platforms.
- Deploying scalable and secure ML model architectures.
- Ensuring data security and integrity.
Requirements
- 5+ years of experience in the healthcare domain.
- Strong understanding of AI/ML concepts.
- Hands-on experience with MLOps tools.
- Proficiency in programming languages such as Python.
- Familiarity with containerization technologies like Docker and Kubernetes.
Job Highlights
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