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Principal Artificial Intelligence Engineer

Principal Artificial Intelligence Engineer

Tipp Focus (Pty) LtdPretoria, Gauteng, South Africa
8 days ago
Job description

Responsibilities

  • Provide leadership in the provision of technical solutions to client programmes;
  • Propose and / or contribute to the strategic investment plan and implement Parliamentary Grant, Contract Research and Development and other grant-funded projects;
  • Research, develop and test innovative solutions in AI and remain well-versed in new approaches in tools, methods or technologies in the evolving AI space;
  • Advance theoretical AI approaches to deployable solutions, i.e. implemented and deployed into large-scale production systems
  • Develop technology demonstrators to contribute to an increase in new localised technologies
  • Supervise / mentor junior staff in the area(s) of expertise;
  • Generate and lead science engineering and technology (SET) activity outputs e.g. reports, guidelines, system requirements, peer-reviewed publications, and technology and software packages;
  • Understand and interpret client requirements by contributing to user requirement analysis and / or well-articulated proposals;
  • Participate in external task teams or committees in relevant domains;
  • Provide technical support on business development and participate in client interactions;
  • Manage projects through planning of appropriate processes and policies to ensure Intellectual Property (IP) protection and technology transfer

Desired Skills

  • Computer vision tasks
  • Building multimodal models
  • Data platform engineering
  • Natural language processing and understanding
  • Cloud-based platforms
  • AWS
  • IBM Cloud
  • Azure
  • Desired Work Experience

  • 5 to 10 years
  • Desired Qualification Level

  • Degree
  • About The Employer

  • An Honour's degree in computer science / engineering, electrical / electronic engineering, information technology or related fields with at least seven years\' experience in artificial intelligence (AI) / machine learning (ML) and software development in artificial intelligence technologies;
  • A Master\'s degree will be advantageous;
  • Experience in the following is required :
  • Applied machine-learning with regression, classification, etc. models for supervised learning;
  • Computer vision tasks
  • Natural language processing and understanding
  • Building multimodal models
  • Unstructured data
  • Big-data unsupervised learning
  • Data platform engineering
  • Demonstrated experience in bringing theoretical machine-learning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into large-scale production system certain advanced ML and applied ML algorithms;
  • Cloud-based platforms : AWS, IBM Cloud, Azure;
  • Proficiency and experience building AI models with a deep learning framework such as TensorFlow, Keras or Theano;
  • Ability to select hardware (and relevant production / deployment knowledge) to run an ML model with the required latency;
  • Business Development and financial acumen;
  • Ability to construct scopes and proposals for potential clients.
  • Excellent communication and presentation skills;
  • Exposure to Project Management;
  • Technical lead for complex projects involving multiple stakeholders.
  • Understanding of transforming / implementing software / algorithms for use in real-life systems would be advantageous;
  • Conflict management skills will be advantageous;
  • Knowledge of programming in modern object orientated languages, with Open-Source development tools and platforms;
  • Ability to apply resource management techniques to run an ML model with the required latency;
  • Ability to demonstrate Object-orientated software engineering skills;
  • Strong quantitative skills (mathematics / statistics / computer science);
  • Demonstrated ability to supervise / mentor / develop junior staff;
  • Demonstrated skills in : analytical thinking, flexibility and adaptability, investigative orientation, planning and organising, problem solving, verbal and written communication, team work, self-management (planning, prioritising and time management - includes the ability to work independently), systems level thinking, multi-disciplinary knowledge.
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    Principal Engineer • Pretoria, Gauteng, South Africa

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