Description

You will design, implement, and productionize AI/ML and computer vision solutions, owning the lifecycle from development to deployment.

This role is on-site.

Responsibilities

• Build scalable inference pipelines and AI services using Azure ML, containers, and APIs.
• Define and enforce AI engineering best practices, patterns, and responsible AI standards.
• Collaborate with Data Engineers and Data Scientists to integrate models into production systems.
• Guide and mentor AI engineers, ensuring performance, reliability, and model monitoring.
• Implement real-time or near-real-time inference systems with drift detection capabilities.

Required Skills

• 5-6+ years of experience in AI/ML engineering.
• Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
• At least 1 year of real-world image processing or computer vision experience.
• Experience deploying models using Azure services and containerization.
• Proven track record owning AI solutions from development through to production.
• Familiarity with Foundry or similar data platform tools.
• Knowledge of model monitoring, drift detection, and performance optimization.

Preferred Skills

• Experience working with Data Engineers and Data Scientists in cross-functional teams.
• Background in building real-time inference systems at scale.

Key Skills

Education

Any Gradute