Principal AI EngineerRequirements: - A Master's or Ph.D. in a relevant field (e.g., computer science, artificial intelligence, machine learning)
- Five-plus 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
Skills required:- Artificial intelligence
- Data science
- Machine learning
- Python
Posted on 03 Sep 10:27, Closing date 3 Oct |
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