Description

You will develop and maintain scalable software systems with a focus on Python and machine learning workflows.

Responsibilities

• Build and manage scalable applications using Python.
• Deploy and orchestrate workloads within Kubernetes environments.
• Implement and manage machine learning lifecycles using MLflow.
• Utilize AWS services including EC2 and S3 for infrastructure needs.

Required Skills

• 10+ years of professional software engineering experience.
• Expert-level proficiency in Python.
• Hands-on experience with Kubernetes.
• Practical knowledge of MLflow.
• Experience managing infrastructure with EC2.
• Experience working with S3 storage.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate