Description

You will design and lead the technical direction for large-scale analytics and machine learning architectures.

Responsibilities

• Lead a team of ML Engineers, DevOps Engineers, and Platform administrators to test, scale, and industrialize algorithms.
• Define architectural strategies, design patterns, and execution roadmaps using scrum processes.
• Research and evaluate tools for Parallel Compute, Edge AI, Data Science Model Training, and Service Oriented Model Inference.
• Collaborate in cross-functional agile teams with data scientists, designers, and product managers to build MLOps solutions.
• Mentor the broader organization on software architecture and scalable analytics design patterns.

Required Skills

• 5+ years of experience in technical leadership or architectural roles.
• Experience with Data Science Model Training and MLOps.
• Knowledge of Edge AI and Parallel Compute technologies.
• Ability to establish software design patterns for scalable, maintainable code.
• Experience working within agile, cross-functional team structures.
• Competency in aligning technical research with enterprise security strategies.
• Background in coordinating with DevOps engineers and product managers.

Key Skills

Education

Any Gradute