ISTA Solutions, an outsourcing/offshoring company, is in search of a Machine Learning Developer / Engineer to join our rapidly expanding team. As a member of our team, you will have the opportunity to work with highly skilled professionals, who prioritize employee satisfaction and work-life balance. At ISTA Solutions, we pride ourselves on creating a culture focused on long-term success and life-long learning. We're looking for a team player who is ready to contribute to our mission, just like you! 

This role requires candidates to work EST (15h00 - 24h00 SAST).

Requirements

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.