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