Machine Learning

3 weeks ago

Santa Rosa, Philippines ISTA Personnel Solutions Full time

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.
Qualifications
  • 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
Soft Skills
  • 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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