Principal AI Engineer

About CBTW

CBTW – Collaboration Betters The World – is a global technology and consulting firm that believes in the power of collaboration to drive innovation, solve complex challenges, and create meaningful impact. With expertise in AI, cloud, and digital transformation, we partner with forward-thinking organizations to build intelligent solutions that shape a better future for people and businesses alike.

Role Overview:
As a Principal AI Engineer, you will pioneer the development of groundbreaking AI solutions that transform patient care and rehabilitation outcomes in the Physiotherapy sector. This role combines deep technical expertise with strategic consulting to guide clients in defining optimal AI strategies for healthcare innovation. You will lead the exploration and implementation of diverse AI technologies—from traditional ML models to cutting-edge LLM and agent-based systems—specifically tailored for physiotherapy and broader medical applications.

Key Responsibilities:

General Responsibilities:

• Design, develop, and optimize machine learning models for various use cases including classification, regression, NLP, and computer vision

• Build end-to-end data pipelines to support model training, validation, and deployment

• Implement MLOps practices for continuous integration, model versioning, and automated deployment

• Collaborate with cross-functional teams including data engineers, product owners, and business stakeholders to define problem statements and deliver actionable solutions

• Conduct experiments, analyze model performance, and iterate based on data-driven insights

• Ensure model interpretability, fairness, and robustness in production environments

• Document methodologies, findings, and share knowledge through internal collaboration platforms

Consulting and Strategy Responsibilities

• Client Strategy Development: Guide clients through AI strategy formulation, helping them identify optimal AI applications for their specific physiotherapy and healthcare needs

• Technology Assessment: Evaluate and recommend appropriate AI technologies (traditional ML, LLMs, agent systems) based on client requirements and clinical use cases

• Project Leadership: Lead cross-functional teams including clinical experts, data engineers, and regulatory specialists to deliver comprehensive AI solutions

Healthcare-Specific Responsibilities

• Clinical Workflow Integration: Design AI solutions that seamlessly integrate with existing the application workflow
• Regulatory Compliance Leadership: Ensure all AI systems comply with healthcare regulations including GDPR, HIPAA, FDA guidelines for AI medical devices, and other relevant medical AI standards
• Medical Domain Expertise Development: Collaborate closely with the client, and their medical experts to understand complex healthcare challenges and translate them into AI solutions
• AI Ethics and Safety: Implement explainable AI frameworks, bias mitigation strategies, and safety protocols specifically designed for healthcare applications
• Clinical Validation: Design and execute rigorous validation protocols for AI models in this setup, ensuring safety, efficacy, and regulatory compliance
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