Head of Artificial Intelligence

This role is for one of the Weekday's clients

Requirements

Key Responsibilities

AI Strategy & Leadership

• Define and execute the organisation's end-to-end AI and machine learning strategy, aligned with business priorities.
• Lead and mentor AI/ML teams, fostering a culture of innovation, experimentation, and continuous learning.
• Translate emerging AI research and market trends into actionable strategic initiatives.
  

AI/ML Model Development

• Oversee research, design, development, and optimisation of machine learning and deep learning models.
• Drive end-to-end lifecycle of AI solutions—from problem definition and data acquisition to model training, validation, deployment, and monitoring.
• Ensure models are scalable, robust, explainable, and aligned with ethical AI practices.
  

Technical Excellence

• Architect and develop cutting-edge AI systems by leveraging modern ML frameworks, distributed training methods, and MLOps tools.
• Establish best practices for model governance, reproducibility, experimentation, and performance monitoring.
• Partner closely with engineering teams to integrate AI capabilities into production systems efficiently and securely.
  

Cross-Functional Collaboration

• Work with product and business stakeholders to identify AI use-cases, define requirements, and prioritise initiatives based on impact.
• Communicate complex AI concepts in simple terms to non-technical stakeholders and senior leadership.
• Collaborate with data engineering teams to ensure high-quality data pipelines, feature stores, and model-serving infrastructure.
  

Innovation & Continuous Improvement

• Stay updated on global AI advancements, emerging technologies, and regulatory considerations.
• Build frameworks to evaluate new AI tools, LLMs, and automation opportunities.
• Promote responsible AI practices, ensuring fairness, transparency, and compliance.
  

Requirements

• 8-12 years of hands-on experience in Artificial Intelligence, Machine Learning, and applied data science.
• Proven experience leading AI/ML teams and delivering production-grade AI solutions at scale.
• Strong expertise in ML algorithms, deep learning, NLP, computer vision, reinforcement learning, and generative AI technologies.
• Proficiency with modern ML libraries and frameworks (TensorFlow, PyTorch, Scikit-learn), cloud platforms (AWS/GCP/Azure), and MLOps tools.
• Strong understanding of data architecture, distributed systems, and model operationalisation.
• Excellent leadership, communication, and stakeholder management skills.
• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field; PhD preferred