Description

Lead the design, development, and deployment of scalable machine learning solutions across Azure and AWS.

This role is remote.

Responsibilities

• Lead the design, development, and deployment of scalable ML solutions across Azure and AWS environments.
• Guide a team of data scientists, ML engineers, and MLOps specialists through full project lifecycles.
• Build and optimize ML pipelines in Azure Databricks, incorporating best MLOps practices.
• Oversee model versioning, monitoring, and governance in production environments.
• Implement CI/CD pipelines for ML workflows and ensure reproducibility and compliance.

Required Skills

• 10+ years of experience in AI/ML engineering.
• 2+ years in a leadership role.
• Strong hands-on experience with Azure Databricks.
• Proficiency in Python.
• Experience with AWS.
• Deep understanding of MLOps practices and deployment strategies.
• Proven ability to build end-to-end ML pipelines and manage models in production.
• Experience leading cross-functional teams and mentoring junior engineers.
• Familiarity with containerization (Docker) and version control (Git).

Preferred Skills

• Experience with data lake architectures (Delta Lake, S3, etc.).
• Exposure to model explainability and governance frameworks.

Key Skills

Education

Any Graduate