AI Engineer

• Collaborate with cross-functional teams to transition AI/ML models from prototypes into scalable, production-ready systems.
• Build, deploy, and maintain CI/CD pipelines for machine learning models, ensuring reproducibility, scalability, and reliability.
• Design and implement cloud-based infrastructure (AWS, Azure, or equivalent) for training, inference, and monitoring of AI models.
• Automate repetitive ML lifecycle tasks, improving efficiency and consistency in retraining and deployment workflows.
• Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s Clinical AI products, with a focus on unstructured clinical data.
• Develop scalable inference pipelines and APIs to deliver AI capabilities into customer-facing solutions.
• Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments.
• Participate in system design and architecture discussions, bringing expertise in MLOps and AI deployment best practices.
• Ensure performance, reliability, and security of deployed models, optimizing for latency, throughput, and cost.
• Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals.

Senior AI Engineer

AI Engineer

Senior AI Engineer

AI Engineer Intern, Summer 2026

Computer Vision AI Engineer

Product Manager – Conversational AI Platform