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Machine Learning Developer / Engineer (EST Hours) - Remote at ISTA Personnel Solutions. I. STA Personnel Solutions.  . South Africa - . we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a . Machine Learning. . Developer / Engineer.  to join a rapidly expanding team, working remotely. . PLEASE NOTE THE FOLLOWING:. . . Working Hours:.  . This role requires you to work . USA hours,.  Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time. NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.). . . . Work Environment:. . This is a fully remote working role.. . . . Internet Requirements:.  A . fixed fibre line.  with a minimum speed of . 25 Mbps (upload & download).  and the ability to support a . wired Ethernet connection.  is mandatory. . Applicants without a fixed fibre line cannot be considered.. . . . Power Backup:.  A . reliable power backup solution.  is required to manage . load shedding and power outages. . . Applicants without a power backup cannot be considered.. . . Required Skills:. . Strong problem-solving and coding skills, more than just a programmer.. . Experience building machine learning models.. . Ideally have experience with:. . Random Forest, Gradient Boosting, AutoML.. . Performing well on Kaggle machine learning competitions (advantageous).. . 1-2 years of relevant experience.. . Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh.. . Actuarial experience would be an advantage.. . Ideal Candidate Profile:. . Background as an engineer or data scientist, ideally with healthcare experience.. . Able to discuss specific models built, methodologies used, and feature engineering approaches.. . Duties and 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.. . If you are not contacted with 14 working days for this role, please consider your application unsuccessful. . Company Location: South Africa.