Machine Learning Developer / Engineer /EST Hours/ - Remote

ISTA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely. PLEASE NOTE THE FOLLOWING: • Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time. NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.) • Work Environment: This is a fully remote working role. • 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. 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. Original job Machine Learning Developer / Engineer /EST Hours/ - Remote posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs. Apply tot his job Apply To this Job