We're seeking an exceptional AI Engineering Manager to lead our technical innovation. This role blends hands-on technical leadership with strategic management, driving cutting-edge initiatives while actively contributing to development.

Key Responsibilities:

Technical Leadership & Hands-on Development: 

• Actively participate in and guide the development of advanced AI solutions, including deep learning, reinforcement learning, and graph neural networks 
• Lead the implementation of state-of-the-art NLP solutions using spaCy, Hugging Face Transformers, and the latest Gen-AI APIs 
• Architect and oversee vector search systems such as Weaviate, Pinecone, and Milvus 
• Drive the development of autonomous and multi-agent systems environments 
• Guide the integration of generative AI technologies (GPT, DALL-E, GANs) 
• Utilise advanced transformer models like BERT, T5, and ViT to solve complex problems in NLP and computer vision.

Strategic Management: 

• Develop technology roadmaps aligned with business objectives 
• Collaborate with cross-functional teams to integrate AI solutions across the organization. 
• Lead architecture decisions for cloud-based AI solutions 
• Balance resource allocation across multiple AI initiatives

People Management: 

• Build and lead a high-performing AI engineering team 
• Provide technical mentorship and career development guidance 
• Build a culture of innovation and continuous learning by driving the recruitment efforts of AI talent

Requirements Technical Skills: 

• Expert-level proficiency in Python 
• Expertise in TensorFlow, PyTorch, and scikit-learn 
• Hands-on experience with vector databases and similarity search systems 
• Strong background in reinforcement learning and generative AI
• Practical experience with MLOps tools and practices 
• Proficiency in big data technologies (Spark, Kafka, Hadoop) 
• Experience with cloud platforms and edge computing solutions

Leadership Skills: 

• 7+ years of technical experience in AI/and 3+ years of engineering team management 
• Proven track record of delivering complex AI projects 
• Experience with agile development methodologies 
• Ability to balance technical depth with business acumen 
• Strong communication and stakeholder management skills 
• Strategic thinking and problem-solving abilities

Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Extensive experience (8+ years) in AI/ML roles, with at least 3 years in a leadership capacity, delivering enterprise-grade solutions. 
• Recognised contributions to AI research or projects, evidenced by publications or notable projects.