
AI and Automation Innovation Lead
2 weeks ago
- Develop and execute a comprehensive AI adoption roadmap, prioritising use cases that deliver high business impact.
- Collaborate with data scientists and engineers to implement AI/ML models that address specific organisational challenges.
- Monitor and evaluate the performance of AI models, ensuring accuracy, relevance, and compliance with ethical standards.
- Partner with department leads to identify high-impact opportunities for automation and AI integration.
- Develop detailed process documentation, including process maps, automation workflows, and technical specifications.
- Design and build process automation solutions using platforms such as UiPath, Blue Prism, or Automation Anywhere.
- Configure, test, and deploy process automation bots and AI-driven solutions to automate repetitive tasks and improve process efficiency.
- Ensure that deployed solutions are robust, secure, and scalable.
- Collaborate with IT teams to ensure seamless integration with existing systems and data pipelines.
- Monitor the performance of AI models and process automation bots, addressing any issues or errors that arise.
- Continuously optimise and enhance solutions to improve performance and adapt to changing business needs.
- Maintain an innovation pipeline to prioritise and manage new AI and process automation initiatives.
- Establish best practices and governance frameworks for AI and process automation deployment and usage.
- Ensure that all solutions adhere to organisational policies and compliance requirements.
- Bachelor's degree in computer science, Information Systems, Data Science, or a related field. A Master's degree is a plus.
- 3+ years of experience in designing and implementing automation solutions, including RPA and AI-driven applications.
- Hands-on experience with RPA tools (e.g., UiPath, Blue Prism) and AI platforms (e.g., TensorFlow, OpenAI, AWS AI).
- Proficiency in scripting and programming languages (e.g., Python, JavaScript) for customisation and AI model deployment.
- Strong understanding of APIs, data pipelines, and system integrations.
- Familiarity with machine learning concepts, including supervised/unsupervised learning and NLP.
We offer a competitive compensation package and a dynamic work environment.
Keywords: AI],-
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