Description

Bridge the gap between full stack development and machine learning operations by building web applications and managing ML lifecycles.

This role is on-site.

Responsibilities

• Develop and maintain web applications using Python and its frameworks.
• Implement and manage MLOps workflows and machine learning lifecycles.
• Build and deploy RESTful APIs to support application functionality.
• Manage containerized workloads and orchestration within cloud environments.

Required Skills

• 12+ years of professional experience in software development.
• Expertise in Python and frameworks such as Django or Flask.
• Experience with MLOps tools including Kubeflow, MLflow, TensorFlow, or PyTorch.
• Proficiency with containerization using Docker and Kubernetes.
• Hands-on experience with cloud platforms including AWS, Azure, or GCP.
• Strong understanding of RESTful API design and implementation.
• Experience working within Data Science or machine learning environments.

Preferred Skills

• Proven track record of delivering full stack Python applications.

Key Skills

Education

Any Graduate