What are the responsibilities and job description for the MLOps Engineer position at Chelsoft Solutions Co?
Job Summary
As an MLOps Engineer you will be responsible for the endtoend productionization and deployment of machine learning models at scale. You will collaborate closely with data scientists to refine models and ensure they are optimized for production. Additionally you will maintain and improve our MLOps infrastructure automate deployment pipelines and ensure compliance with IT and security standards. Your role will be critical in image management vulnerability remediation and the deployment of ML models using modern infrastructureascode practices.
Key Responsibilities
- Oversee the endtoend productionization and deployment of machine learning models.
- Collaborate with data scientists to refine and optimize models for production.
- Maintain and enhance MLOps infrastructure.
- Automate deployment pipelines.
- Ensure compliance with IT and security standards.
- Manage image management and vulnerability remediation.
- Deploy ML models using infrastructureascode practices.
API Experience
Qualifications
About Us
Join us and be a part of a team that is at the forefront of leveraging AI and machine learning to drive business success!
Required Skills : AWS Docker Git Python SQL Swagger Terraform
