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Salary
$18k – $53k per year (Estimated)
Location
In office (Johannesburg)
Employment
Full-Time
Overview
Company
Impact
Profile match
Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.
Step into the future of AI innovation within a fast-evolving digital and customer experience environment. This exciting opportunity is ideal for an AI Engineer passionate about building cutting-edge solutions across voice, chat, and generative AI. You will play a key role in developing intelligent automation, conversational AI systems, and advanced analytics solutions, with a strong focus on real-world impact and emerging technologies.

Our client, a technology-driven organisation within the business services and digital solutions space, is seeking an AI Engineer to join their Insights, Data and Enterprise Analytics team.

The successful candidate will be responsible for designing, developing, and deploying advanced AI solutions across voice and digital customer interaction channels. This includes building production-grade voice bots, chatbots, AI-driven quality assurance systems, and natural language processing solutions tailored to diverse and emerging markets.

This role offers exposure to cutting-edge technologies including Generative AI, Large Language Models (LLMs), speech technologies, and responsible AI practices within a collaborative and innovation-focused environment.

Key Responsibilities:

  • Design, develop, and deploy AI-driven solutions including chatbots, voice bots, and QA automation tools
  • Build and optimise models using Generative AI, NLP/NLU, and LLM frameworks
  • Develop Speech-to-Text (STT) and Text-to-Speech (TTS) capabilities and integrate speech technologies into solutions
  • Create scalable, production-grade AI systems aligned with business requirements
  • Integrate AI models into existing systems using APIs and modern integration techniques
  • Conduct data analysis to support model development and generate actionable insights
  • Collaborate with business and technical stakeholders to translate requirements into AI solutions
  • Ensure AI solutions are robust, scalable, and aligned with governance and data privacy standards
  • Participate in research and innovation initiatives to explore new AI capabilities and use cases
  • Contribute to continuous improvement of AI systems, processes, and deployment practices
  • Support development of AI strategies aligned to business objectives
  • Create documentation, user guides, and provide support for deployed AI solutions
  • Stay up to date with emerging AI trends, tools, and technologies

Job Experience and Skills Required:

Education:

  • Honours Degree in Artificial Intelligence, Computer Science, Data Science, Computational Linguistics, or a related field
  • Master's Degree advantageous
  • Relevant AI/ML certifications (e.g., Azure AI) beneficial

Experience:

  • 0-3 years' experience in AI, Machine Learning, NLP, or a related field
  • Hands-on experience building AI chatbots, voice bots, or conversational AI systems
  • Experience working with Generative AI, LLMs, NLP, and speech technologies (STT/TTS)
  • Exposure to AI implementations within customer interaction or contact centre environments advantageous
  • Experience working with low-resource or multilingual language solutions beneficial

Skills:

  • Strong programming skills in Python (preferred), R, or Java
  • Experience with AI/ML libraries such as TensorFlow, PyTorch, Hugging Face
  • Strong understanding of NLP/NLU, LLMs, and conversational AI frameworks
  • Experience with API development and integration (REST, GraphQL)
  • Cloud platform exposure (AWS, Azure, or GCP)
  • Knowledge of version control (Git), CI/CD, and MLOps practices
  • Experience working with data pipelines (ETL/ELT) and model monitoring
  • Familiarity with SQL/NoSQL databases
  • Exposure to containerisation (e.g., Docker) advantageous
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder engagement skills
  • Ability to work independently and within cross-functional teams
  • Highly adaptable with strong organisational and time-management skills

For more exciting Actuarial and Analytics vacancies, please visit:

Network Recruitment International - Finance Jobs

I also specialise in recruiting in the following:

  • Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
  • Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
  • Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
  • Pricing: Specialists in Insurance and Financial Products
  • AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
  • Quantitative: Experts across Banking, Insurance, and FinTech
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:

Zahrah Gani

Specialist Recruitment Consultant

Connect with me on LinkedIn

For more information please contact:

Zahrah Gani

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