Offer summary

Qualifications:

Experience in machine learning competitions, particularly on Kaggle., Proficiency in Manual Artificial Intelligence and Python programming., Familiarity with algorithms such as Random Forest, Gradient Boosting, and AutoML., Strong problem-solving skills and excellent written English communication abilities..

Key responsabilities:

Develop and implement machine learning models to address complex business challenges.

Perform data analysis and feature engineering to enhance model accuracy and performance.

Communicate insights and recommendations to stakeholders effectively.

Collaborate with team members to integrate models and create interactive dashboards using Python libraries.

Job description

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 a 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 all of the above questions, then we would like to hear from you!

PLEASE NOTE:

Working Hours: This role requires you to work EST hours Mon - Fri from 9am to 6pm EST (15h00 to 24h00 South African time - subject to change dependent on daylight savings)
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.
Work Environment: This is a remote role for South African Citizens only.

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

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

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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