Description:

ISTA Personnel Solutions is a global Business Process Outsourcing (BPO) company seeking a Machine Learning Developer/Engineer to join a rapidly expanding team, working remotely.
The role requires working USA hours, Monday to Friday, from 8:30 am to 5:30 pm EST (2:30 pm to 11:30 pm South African time), with hours subject to change based on daylight savings and operational requirements.
This is a remote position available only to South African citizens.
Applicants must have a fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection; those without a fixed fibre line will not be considered.
A reliable power backup solution is required to manage load shedding and power outages; applicants without power backup will not be considered.
The role involves developing and implementing machine learning models to solve complex business problems from the ground up, using algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance.

Requirements:

Strong problem-solving and coding skills are essential, as the role requires more than just programming.
Experience in building machine learning models is required.
Ideally, candidates should have experience with Random Forest, Gradient Boosting, and AutoML.
Participation in Kaggle machine learning competitions is advantageous.
Candidates should have 1-2 years of relevant experience.
Proficiency in Python for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, and Bokeh is necessary.
Actuarial experience would be considered an advantage.
The ideal candidate should have a background as an engineer or data scientist, preferably with healthcare experience.
Candidates must be able to discuss specific models built, methodologies used, and feature engineering approaches.

The position offers the opportunity to work remotely while being part of a global team.
Candidates will gain experience in developing machine learning models specifically for the healthcare industry.
The role allows for collaboration with team members to integrate models into existing systems and workflows.
There is potential for professional growth and development in machine learning and data analysis.
Regular reporting on model performance and business impact provides valuable insights into the effectiveness of the work done.