Specialist, Artificial Intelligence

A prominent financial services group is seeking a specialist to drive the development and implementation of artificial intelligence (AI) and machine learning (ML) solutions. This role is central to embedding AI/ML capabilities across the organisation, ensuring that technological advancements effectively meet the needs of various stakeholders.

About the role

The core function of this position is to leverage deep expertise in AI and ML to foster the successful adoption and expansion of these technologies within the business. You will be instrumental in translating complex technical possibilities into tangible business benefits, working closely with diverse teams to understand their requirements and deliver impactful solutions. This involves not only building and deploying AI/ML models but also championing their integration into existing workflows and systems.

Your responsibilities will encompass the full lifecycle of AI/ML solution development. This includes:

• Designing, developing, and implementing AI and ML models and algorithms.
• Collaborating with business units to identify opportunities for AI/ML application.
• Translating business requirements into technical specifications for AI/ML projects.
• Ensuring the effective integration of AI/ML solutions into existing technological infrastructure.
• Monitoring the performance of deployed AI/ML systems and making necessary adjustments.
• Staying abreast of emerging trends and best practices in AI and ML.
• Communicating technical concepts and project outcomes to both technical and non-technical audiences.
• Contributing to the overall strategy for AI/ML adoption within the organisation.

What they're looking for

To excel in this role, candidates should possess a strong foundation in relevant technical disciplines and practical experience in the field of AI and ML. A first degree in Information Technology, Computer Science, Mathematics, or Statistics is required.

Key qualifications and experience include:

• A minimum of 5-7 years of experience in software engineering technology.
• Demonstrable experience specifically within the AI and ML domain.
• Proficiency in data analysis and the use of various libraries and frameworks pertinent to AI/ML development.
• Understanding of IT design principles and driven development methodologies.
• Familiarity with banking and financial services systems is advantageous.
• Strong problem-solving and troubleshooting abilities.
• Experience with emerging technologies and monitoring their potential applications.

In terms of behavioural competencies, the ideal candidate will be adept at adopting practical approaches, articulating information clearly, and meticulously checking their work. They should be committed to developing their expertise, documenting findings, and embracing change. Skills in examining information, interpreting data, managing tasks effectively, producing reliable output, and taking initiative are crucial. Furthermore, a strong capacity for teamwork will be essential for collaborating across different departments.

This position offers an opportunity to contribute to a leading African financial services group, working alongside talented professionals and making a real impact on business innovation. Given the specialist nature of this role, typical remuneration in South Africa would align with senior technical positions, varying based on experience and the specific complexity of the AI/ML challenges addressed. Common employers for such roles include large financial institutions, technology firms, and data-centric organisations, with potential for career progression into leadership or highly specialised technical expert roles.

Type of Qualification: First Degree
Field of Study: Information Technology,Computer Science,Mathematics Statistics

Experience Required
Software Engineering
Technology
5-7 years
Experience in the AI and ML area.

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Checking Things
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data
• Managing Tasks
• Producing Output
• Taking Action
• Team Working

Technical Competencies:

• Data Analysis
• Emerging Technology Monitoring
• IT Design Driven Development
• Knowledge of Banking & Financial Service
• Systems Design
• Trouble Shooting
• Use of Libraries and Frameworks