AI Specialists

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

AI and Machine Learning Development:

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.

Competencies:

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.

AI and Machine Learning Development: 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...

AI and Machine Learning Development:

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.

Competencies:

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: