Machine LearningManual AI Developer

Summary

Join ISTA Personnel Solutions South Africa, a global BPO company, in a remote role working with a leading US healthcare staffing solutions provider. This position requires expertise in machine learning, specifically using Python and algorithms like Random Forest and Gradient Boosting. You will develop and implement machine learning models, perform data analysis, and create dashboards to solve complex business problems. The role demands strong problem-solving and coding skills, excellent communication, and the ability to work independently and collaboratively. Working hours are EST, and a reliable internet connection and power backup are mandatory. Only South African citizens are eligible.

Requirements

• Strong problem-solving and coding skills
• Experience building machine learning, with proven strong results
• Experience with Random Forest, Gradient Boosting, AutoML
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Excellent written English skills – Ability to communicate ideas clearly and concisely
• Highly organized and detail-oriented – Ability to manage multiple tasks while maintaining focus and quality
• Strong time management skills – Capable of prioritizing tasks and meeting deadlines in a fast-paced environment
• Collaborative mindset – Works well within a team while also being able to take ownership of projects
• 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
• South African Citizen

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