Job Description: To design, prototype, and build next-generation analytic engines and services by applying strong expertise in Artificial Intelligence (AI) Job Responsibilities: Transform data science prototypes and optimise machine learning solutions for scalability and deployment into production. Provide strategic and operational advice to the stakeholders regarding AI/ML infrastructure to serve current and future needs. Design dynamic ML models and systems which have the ability to train, retrain themselves whenever required. Evaluate the variations in data distribution that affects the model performance. Periodically evaluate the ML systems and ensure that end solutions are in alignment with corporate and IT strategies. Implement AI and ML solutions and establish system operations and maintenance structures. Job Requirements: Advanced Diplomas/National 1st Degrees Preferably any Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist. NQF Level 8 Computer Science, Engineering, Econometrics, Mathematical Statistics, Actuary Science. Masters or Doctorate will be an added advantage. ML Engineering