Econet Wireless Zimbabwe
DUE : 25 JAN 2023
Job Description
Job Purpose
Artificial Intelligence Architect defines and augment Digital transformation journeys by embedding AI technologies.
Translates business needs, performs architectural designs using AI solutions and ensures all integrations conforms to international standards and leading AI technology frameworks and architectures.
AI Architect plans the implementation of solutions, choosing the right technologies and evaluating the evolution of the architecture as per the changes in Digital transformational journeys of the business and customers.
Guides and approves the development of the AI / ML offering and join a multidisciplinary team in implementing the AI/ML offering that continuously unlock new revenue opportunities and/or introduce efficient process to curb cost through innovations.
Key Responsibilities
Designs end to end Artificial Intelligent infrastructure architectures, for both On-prem and public cloud to support AI business solutions in line with DSP strategy.
Builds and maintains platforms that easily convert models into APIs for integrating AI into the overall IT infrastructure.
Designs AI Frameworks that are agile and repeatable for integrating AI solutions into the enterprise ecosystem,
Benchmarks and profiles the AI systems / algorithms, APIs and platforms to identify the bottlenecks and manage solution roadmaps.
Plans the implementation of AI solutions, choosing the right technologies and evaluating the evolution of the architecture to support future needs without much disruption.
Maintains and optimises infrastructure hosting the AI solutions, Performs impacts assessment and update all transitional architectures.
Leads architecture review and approves processes for solution architectures.
Leads teams to research and develop new ideas and apply AI offerings to complex product challenges across Technology Solutions.
Oversees and approves the end-to-end development and implementation of the AI innovations in line with DSP Strategy.
Guides the designs, development, testing and building of MLOPS-as-a-service solutions leveraging On-prem cluster environment.Implements and automates continuous integration, continuous delivery, and continuous training for machine learning systems.
Engages vendors, contractors, service providers and internal stakeholders on support issues for all AI deployments.
Approves AI solutions which adheres to Enterprise Architecture, Development, and Information Risk Management standards and policies.
Qualification, Skills and Experience
6 O Levels Including Mathematics, Science and English.
2 A Level passes
Degree in Computer Science, Engineering, IT, Mathematics, Statistics or equivalent.
A relevant vocational qualification i.e Masters or TOGAF will be an added advantage
2 to 4 years experience working with data science tools and Frameworks, e.g. TensorFlow/Keras, PyTorch, scikit-learn, OpenCV, or Spacy and in developing on cloud platforms (on AWS, GCP or Azure) in a similar or related environment.
2+ years experience in Business Case Development and Strategic Storytelling is an advantage.
Experience building, architecting, designing, and implementing ML solutions in highly public cloud or on-prem systems .
A recognised Agile Project Management Practitioner qualification, and/or an MBA / Master’s Degree is preferred.
TO APPLY
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