Machine Learning Developer / Engineer
- Johannesburg, Gauteng
- Permanent
- Full-time
In this role, you'll be instrumental in developing and implementing machine learning models from the ground up. Working USA business hours (EST), you'll collaborate with a cross-functional team to solve complex problems, build insightful dashboards, and apply innovative algorithms that drive decisions in a healthcare context.Key ResponsibilitiesBuild and implement machine learning models using Random Forest, Gradient Boosting, AutoML, and other techniquesConduct in-depth data analysis and feature engineering to improve model accuracyValidate and clean data for model readinessPresent insights and recommendations clearly to stakeholdersCollaborate with teams to embed models into existing systems and workflowsDesign and develop dashboards using Python libraries such as Dash, Streamlit, Panel, and BokehDeliver ongoing reports on model effectiveness and business valueApply ML methodologies to healthcare-specific use casesWhat You’ll Bring1–2 years’ experience building and deploying machine learning modelsStrong problem-solving and programming skillsProficiency in Python, especially for data analysis and dashboard creationKnowledge of ML algorithms like Random Forest, Gradient Boosting, and AutoMLAbility to articulate model development processes, feature engineering, and methodologiesBackground in data science or engineering; healthcare experience is advantageousNice to HaveExperience with actuarial analysisPerformance in Kaggle competitionsWhat’s On OfferFully remote opportunity for South African professionalsUSA working hours: 15h00 – 24h00 SAST (subject to daylight saving adjustments)Opportunity to work on impactful healthcare challenges with modern ML toolsRole requires a fibre internet connection (min 25 Mbps upload/download) and a backup power solution (UPS or solar)Company Culture
WatersEdge Solutions is a trusted recruitment partner connecting innovative professionals with forward-thinking global companies. We pride ourselves on a supportive, tech-savvy work culture that values collaboration, clarity, and continuous improvement.If you have not been contacted within 10 working days, please consider your application unsuccessful.