AI Specialist

ATS Client; Johannesburg; Vor Ort; ZAR 420.000 - 620.000; Vollzeit

Zusammenfassung

ATS Client is seeking an AI Engineer to design, develop, and deploy AI solutions across voice, chat, and generative AI. You will build production‑grade AI systems and collaborate with cross‑functional teams to translate business needs into scalable AI capabilities.

The role focuses on NLP/LLMs, speech technologies (STT/TTS), and governance with a strong emphasis on real‑world impact and responsible AI practices.

Qualifikationen

• Honours degree in AI, CS, DS or related field.
• Master’s degree advantageous.
• Relevant AI/ML certifications (e.g., Azure AI) beneficial.

Aufgaben

• Design, develop, and deploy AI‑driven chatbots and voice bots.
• Build Generative AI models and NLP/LLM workflows.
• Develop STT and TTS capabilities and integrate speech tech.
• Create production‑grade AI systems aligned with business needs.
• Integrate AI models into systems via APIs.
• Analyze data to support model development and insights.
• Collaborate with stakeholders to translate requirements.
• Ensure governance and privacy compliance for AI solutions.
• Document solutions and provide user guides.
• Stay updated on AI trends and technologies.

Kenntnisse

Python

NLP/NLU

LLMs

APIs (REST/GraphQL)

Cloud Platforms

Git & CI/CD

MLOps

Data Pipelines

SQL/NoSQL

Docker

Ausbildung

Honours Degree in AI/CS/DS

Master's Degree advantageous

AI/ML certifications beneficial

Tools

TensorFlow

PyTorch

Hugging Face

Jobbeschreibung

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

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