Description

Architect and deliver end-to-end AI systems, from ideation and prototyping to production deployment and monitoring.

This role is remote.

Responsibilities

• Design and implement cloud architecture for complex AI platforms, ensuring scalability, security, and reliability.
• Build and maintain scalable data pipelines and low-latency APIs to operationalize AI models in enterprise applications.
• Develop monitoring solutions to ensure consistent model performance, accuracy, and reliability in production.
• Lead design and build of prototypes and MVPs to validate AI/ML solutions before scaling investment.
• Mentor team members on AI/ML best practices and drive engineering excellence through peer reviews and documentation.

Required Skills

• 8+ years of software development experience, including proficiency in Python and the software development lifecycle.
• Deep learning experience using PyTorch, including building transformers, CNNs, GANs, LSTMs, or diffusion models.
• Experience deploying and monitoring AI systems in production environments.
• Strong background in microservices, distributed systems, and container orchestration.
• Ability to debug and optimize AI systems for performance and scalability.

Preferred Skills

• Experience with Azure AI services or similar cloud platforms in highly regulated environments.
• Knowledge of advanced LLM patterns like retrieval-augmented generation (RAG) and structured reasoning.
• Familiarity with MLOps practices and ethical AI principles including fairness and bias mitigation.

Key Skills

Education

Bachelor's degree