Machine Learning
3 weeks ago
Overview
ISTA Personnel Solutions South Africa - we are a global BPO (Business Process Outsourcing) company, partnering with a leading provider of healthcare staffing solutions based in the USA.
Have you competed on Kaggle machine learning competitions ? Are you highly skilled in Manual Artificial Intelligence and Python ? Do you have experience with Random Forest, Gradient Boosting, Auto ML ?
If you have answered YES to the above questions, then we would like to hear from you
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.
- Strong problem-solving and coding skills
- Experience building machine learning solutions 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.
If you are not contacted within 14 working days, please consider your application unsuccessful.
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