Description

You will build and maintain microservices in a production environment with over 1,000 active services, while deploying machine learning models using MLOps principles.

Responsibilities

• Build and maintain microservices within a large-scale production environment.
• Develop and deploy machine learning models using MLOps principles.
• Design and implement RESTful APIs using OpenAPI and Swagger specifications.
• Manage containerized applications using Docker and Kubernetes.

Required Skills

• 5+ years of professional software development experience.
• Strong Python background with expertise in Data Science and ML Operations.
• Experience with Flask and FastAPI.
• Proficiency with Docker and Kubernetes.
• Experience with MongoDB.
• Hands-on work with MEAN/MERN stacks.
• Experience with Node.js and Angular.
• Proven ability to develop RESTful APIs.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate