Senior AI Engineer at MultiChoice

Purpose of the Position:

• R&D focused on AI solutions in the market – evaluating offerings from all major cloud vendors as well as bespoke solutions. Compiling technology comparison reports on latest technologies

Key Performance Objectives

Tasks

Technology research

• Keep up to date with the latest offerings from vendors across the range of AI solution opportunities
• Act as an internal SME on AI solutions available in the market
• Consistently monitor the market to look for opportunities to improve the technology stack being used within the group

Product evaluation and reporting

• Develop and implement a repeatable process for product evaluation, benchmarking and reporting
• Provide product evaluation reports as and when required

Experimentation and solution development

• Run experiments to test hypotheses with the team members including business stakeholders, researchers and engineers
• Collaborate cross-functionally with machine learning experts across the group
• Provide hands-on implementation expertise when required, for key strategic projects

Community involvement

• Establish communities of practice for key AI themes and capabilities
• Coordinate technical events according to the published group AI calendar
• Contribute to open source projects and public good initiatives when appropriate
• Contribute to thought leadership in AI by regularly speaking or publishing at local and international conferences

Qualifications Essential:

• Bachelor's degree in Computer Science or related discipline with a minimum of 7 years of related experience; Master's degree in similar disciplines with a minimum of 5 year of related experience; or PhD with a minimum of 3 year of related experience in similar disciplines

Experience

• Significant knowledge in one or more related fields of the following areas: software development, artificial intelligence, search, operations research, resource allocation mechanisms, quantitative modeling, machine learning, computer vision, risk models, decision theory, and probabilistic methods
• Experience in wide application of principles, theories, concepts and techniques in modern programming languages such as C++, Python, Java, Hadoop map-reduce, R, Ruby, SAS, Artificial Intelligence Techniques and concepts

Technical Competencies

• Problem Solving
• Artificial Intelligence
• Optimization
• Search
• Interdisciplinary team leadership
• Business Analysis Techniques

Behavioral Competencies

• Relationship Building
• Conflict Resolution
• Decision Making
• Critical Appraisal
• Holistic Thinking
• Persuading & Influence
• Coaching