Description:

The position is for a Machine Learning / Manual AI Developer working remotely during EST hours.
The role requires working Monday to Friday from 9am to 6pm EST, which corresponds to 3pm to 12am South African time.
Applicants must have a fixed fibre internet connection with a minimum speed of 25 Mbps for both upload and download, and a wired Ethernet connection is mandatory.
A reliable power backup solution is required to manage load shedding and power outages.
This position is only open to South African citizens.
Responsibilities include developing and implementing machine learning models to solve complex business problems, using algorithms like Random Forest, Gradient Boosting, and AutoML to enhance model performance.
The developer will ensure models are scalable and maintainable, perform detailed data analysis, conduct feature engineering, validate and clean data, and communicate findings to stakeholders.
Collaboration with team members to integrate models into existing systems and workflows is essential.
The role also involves creating dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh, and presenting data-driven insights through interactive dashboards.
The developer will provide regular reports on model performance and business impact, specifically applying machine learning techniques to healthcare-related problems.

Requirements:

Candidates must possess strong problem-solving and coding skills.
Experience in building machine learning models with proven strong results is required.
Proficiency in algorithms such as Random Forest, Gradient Boosting, and AutoML is necessary.
Strong Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, and Bokeh are essential.
Excellent written English skills are required to communicate ideas clearly and concisely.
Candidates should be highly organized and detail-oriented, capable of managing multiple tasks while maintaining focus and quality.
Strong time management skills are necessary to prioritize tasks and meet deadlines in a fast-paced environment.
A collaborative mindset is important, as the candidate must work well within a team while also being able to take ownership of projects.

The position offers the flexibility of remote work.
Candidates will have the opportunity to work on complex machine learning problems in the healthcare sector.
The role allows for collaboration with a global team and the chance to contribute to impactful projects.
Regular reporting and communication with stakeholders will enhance professional development and visibility within the organization.