Machine Learning Developer

Summary

Join I STA Personnel Solutions South Africa as a Machine Learning Developer/Engineer! This remote role, open to South African citizens only, requires working USA hours (8:30 am to 5:30 pm EST). You will develop and implement machine learning models for a healthcare client, using Python and libraries like Dash, Streamlit, Panel, and Bokeh. A fixed fibre line with 25 Mbps speed and a reliable power backup are mandatory. The ideal candidate has 1-2 years of experience, strong problem-solving skills, and experience with Random Forest, Gradient Boosting, and AutoML. This is a fantastic opportunity to contribute to a rapidly expanding team.

Requirements

• Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection
• A reliable power backup solution

Responsibilities

• Develop and implement machine learning models to solve complex business problems from the ground up
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

Preferred Qualifications

• Ideally have experience with: Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• Actuarial experience would be an advantage
• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

Benefits

Remote work