Principal AI Engineer

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Reach Digital Health

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technology • international development • public health • Africa • digital services

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Description

• As a Principal AI Engineer within our Engineering team, you will be a key innovator, applying cutting-edge artificial intelligence and machine learning methodologies to augment and amplify the impact of our Data Science team. • Collaborate closely with other Data Scientists and teams to create scalable, reliable AI/ML solutions that address complex challenges. • Your work will focus on pushing the boundaries of what's possible with AI/ML, mentoring and training team members, and promoting ethical and responsible use of AI/ML in the organisation. • Work closely with the Head of Engineering and Data Science Lead to align AI/ML strategies with broader organisational goals. • Stay at the forefront of AI/ML advancements by continuously exploring emerging technologies and techniques. • Identify and experiment with new AI/ML methodologies to address challenges specific to Reach's projects. • Develop prototypes and proof-of-concept AI/ML models to demonstrate their potential value and application within the organisation.

Requirements

• 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. • Proven ability to collaborate effectively with cross-functional teams. • Excellent communication and presentation skills, both written and verbal. • Passion for social impact and a commitment to ethical AI development.