ML Engineer - Actuarial Modeling & Cloud Deployments

A leading insurance company in Johannesburg is seeking a Machine Learning Engineer to spearhead the design and improvement of ML and actuarial processes. Candidates should have an honours degree in Actuarial Science or related fields, with solid skills in SQL and Python. Responsibilities include deploying models in cloud environments, reporting on model performance, and collaborating with multiple teams to enhance operational efficiency. The position offers a dynamic environment emphasizing innovation, collaboration, and continuous learning. Key responsibilities will be: • Designing, developing, and implementing machine learning models for actuarial purposes; • Collaborating with data scientists, actuaries, and other stakeholders to identify business opportunities and develop solutions; • Deploying models in cloud environments such as AWS or Google Cloud Platform; • Reporting on model performance and providing insights to stakeholders; • Collaborating with multiple teams to enhance operational efficiency and improve decision-making processes; • Staying up-to-date with the latest advancements in machine learning, actuarial science, and cloud computing. Requirements: • Honours degree in Actuarial Science or related fields; • Solid skills in SQL and Python; • Experience with machine learning frameworks such as TensorFlow or PyTorch; • Familiarity with cloud platforms such as AWS or Google Cloud Platform; • Strong analytical and problem-solving skills; • Excellent communication and collaboration skills; • Ability to work in a fast-paced environment and adapt to changing priorities. Benefits: • Opportunity to work on cutting-edge projects in the insurance industry; • Collaborative and dynamic work environment; • Professional development opportunities through training and mentorship; • Competitive salary and benefits package.