Principal AI Engineer

SUMMARY:
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POSITION INFO:

Requirements: 

• A Master's or Ph.D. in a relevant field (e.g., Computer Science, Artificial Intelligence, Machine Learning)
• 5+ years of experience in applied AI research and development, with significant experience in MLOps and operationalising machine learning models in production environments
• Strong expertise in machine learning frameworks and programming languages (e.g. Python)
• Deep experience with MLOps practices and tools, including CI/CD pipelines, model versioning, and automated deployment
• Proven track record of leading AI/ML projects from conception to production at scale
• Experience with a range of AI/ML techniques, including deep learning, reinforcement learning, natural language processing and transformer models
• Demonstrated experience in designing and implementing ethical AI practices, with a strong understanding of fairness, accountability, and transparency in AI
• Ability to evaluate the potential risks and consequences of AI/ML models, particularly in sensitive projects, and implement safeguards to mitigate these risks
• Demonstrated experience in mentoring, training, and knowledge sharing within technical teams
• Passion for social impact and a commitment to ethical AI development

Responsibilities: 

• Work closely with the Head of Engineering and Data Science Lead to align AI/ML strategies with broader organisational goals, while incorporating their strategic direction
• Contribute to the design and development of high-impact AI/ML models that address critical organisational challenges and opportunities
• Partner with Data Engineers to ensure access to clean, well-structured datasets ready for AI/ML model training
• Develop processes and guidelines on monitoring model performance over time, identifying any degradation or biases that may arise
• Mentor, train, and share knowledge with other Data Scientists, fostering a culture of continuous learning and innovation
• Contribute to the design and development of high-impact AI/ML models that address critical organisational challenges and opportunities