Description
An exciting opportunity exists for a Machine Learning Architect at a Global Energy Company.
Our client is looking for a hands-on, proactive individual that has a natural affinity for new technologies to join their innovative digital transformation programme.
Your Role...
As the Machine Learning Architect, you will participate in Strategy and Digital Business Tansformation and Innovation. You will identify new growth opportunities at the edge of current Digital Sales and support business models or technologies working independently and in partnership with the development team.
Key Responsibilities...
- Leverage existing innovation communities and initiatives to accelerate innovation and make the most of internal and external resources.
- Drive innovation to deliver business results and formulate an innovation strategy
- Establish a process for innovation i and define good criteria for idea filtering
- Understand the most important trends and theories in the innovation industry, such as crowd sourcing, open innovation, rapid prototyping, ethnographic studies, choice architecture, social engineering and human factors design
- Leverage practice, business capabilities and strategy, industry trends, and insight into risk and other factors to set technology direction to meet business needs.
- Develop and apply knowledge and skills in specific areas of expertise such as Mobility, Cloud, Analytics, Digital Business, and related topics across Enterprise Architecture, IT, and business domains.
- Engage with business leaders and Digital leaders to understand areas of opportunity and work with them to develop and maintain technology roadmaps for the practice.
- Using APM tools, manage DSS system and architectural models and data to ensure accuracy, including Business Capabilities, application inventory and related metadata
Key Requirements...
- Must speak/understand fluent English
- Broad exposure to hardware, software, application, and system engineering concepts
- Knowledge of AI (Machine learning, Machine Vision, NLP, Chatbots etc..) around customer experience topics (Customer Support, Sales, Field Services, quotation etc..).
- Strong written and verbal communication and interpersonal skills; ability to convey concepts to different audiences to both IT and business audiences
- Creative thinker, you come up with new ideas and solutions in the face of complex tasks.
- Certified in one of the Architecture methodology/Framework (TOGAF for example)
To learn more about this exciting opportunity, apply now for an immediate review!