AI Specialists

Boardroom Appointments; Sandton; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Boardroom Appointments in Sandton seeks an experienced AI/ML engineer to design, develop, and deploy models that solve complex business problems. You will translate business challenges into mathematical approaches and collaborate with data engineers to prepare large datasets for training.

The role requires 5+ years of deployment experience, proficiency in Python and ML frameworks, and hands-on expertise with TensorFlow, PyTorch, and Kubernetes.

Qualifications

• Engineering/IT degree or diploma.
• 5+ years of experience in AI/ML model deployment and software engineering.
• Proven track record of delivering AI-driven solutions.
• Experience building production ML systems and governance.

Responsibilities

• Design, develop, and deploy AI/ML models and algorithms to solve business problems.
• Conduct exploratory data analysis to identify trends, patterns, and insights for decision-making.
• Develop predictive and prescriptive models to support planning and improvements.

Skills

Python

Java

C++

ML frameworks

MLOps

DevOps

CI/CD

Cloud platforms

Docker

Kubernetes

Education

Engineering/IT degree or Diploma

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Job description

Design, develop, and deploy AI/ML models and algorithms to solve complex business problems.

Conduct exploratory data analysis to identify trends, patterns, and insights relevant to decision-making.

Develop predictive and prescriptive models to support strategic planning and operational improvements.

Apply decision science frameworks to improve processes, optimize resources, and enhance decision-making.

Use advanced techniques like optimization, simulation, and scenario analysis to support business planning.

Translate business challenges into mathematical models and actionable insights.

Collaborate with data engineers to prepare, clean, and manage large datasets for AI/ML model training.

Ensure data integrity, accuracy, and compliance with organizational and regulatory standards.

Deploy AI/ML solutions into production environments and monitor performance.

Develop and deploy AI solutions for automation, optimization, and intelligent decision-making.

Architect and optimize AI pipelines, ensuring high performance and low latency.

Implement MLOps best practices for AI model deployment and monitoring.

Collaborate with software developers to embed AI into software development processes.

Maintain AI infrastructure and ensure continuous model improvement and retraining.

Research and integrate emerging AI technologies into enterprise software applications.

Proficiency in Python, Java, C++, or similar programming languages.

Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Expertise in cloud-based AI platforms and containerization (Docker, Kubernetes).

Strong understanding of MLOps, DevOps, and CI/CD pipelines for AI model integration.

Experience with AI governance, security, and ethical AI considerations.

Educational / Experience Requirements:

Engineering/IT degree or Diploma

5+ years of experience in AI/ML model deployment and software engineering.

Proven track record of delivering AI-driven solutions.