MLOps Engineer
100% Remote
12 Months Contract
5 Years of Experience
Budget: 85k per month
Qualifications:
- Bachelors or Masters degree in Computer Science Data Science or a related field.
- Proven experience in ML Ops or DevOps roles with a strong understanding of machine learning lifecycle management.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Preferred Skills:
- Experience with cloud platforms (e.g. AWS Azure GCP) for deploying and managing ML models.
- Proficiency with DevOps tools such as Kubernetes Docker and Jenkins for CI/CD pipeline integration.
- Strong understanding of infrastructureascode (IaC) tools and principles to automate infrastructure setup and management.
MLOps,Machine Learning,ml operations,Cloud Applications,AWS,azure,Google Cloud Platform,Kubernetes,Docker,Jenkins,iac