A1M Solutions

Machine Learning Developer / Engineer (EST Hours) - Remote

South Africa

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not specified
  • Company: ISTA Personnel Solutions (Partnering with a USA Client in the Healthcare Industry)

This role is a remote opportunity for South African Citizens to join a rapidly expanding team within a global BPO company. The position requires adherence to USA working hours (8:30 AM - 5:30 PM EST), which translates to 2:30 PM - 11:30 PM South African time. Applicants must have a fixed fiber internet connection (minimum 25 Mbps upload & download) and a reliable power backup solution to manage load shedding.

Requirements

  • Technical Skills:
    • Strong problem-solving and coding skills (beyond basic programming)
    • Experience building machine learning models
    • Proficiency with:
      • Random Forest
      • Gradient Boosting
      • AutoML
    • Advantageous: Experience with Kaggle machine learning competitions
    • Experience: 1-2 years of relevant experience
    • Programming: Python skills for data analysis and building dashboards (Dash, Streamlit, Panel, Bokeh)
  • Advantageous Experience:
    • Actuarial Experience
  • Ideal Candidate Profile:
    • Background as an engineer or data scientist
    • Ideally with healthcare experience
    • Ability to discuss specific models built, methodologies used, and feature engineering approaches
  • Connectivity & Infrastructure:
    • Fixed fiber internet connection (minimum 25 Mbps upload & download)
    • Reliable power backup solution

Responsibilities

  • Develop and implement machine learning models to solve complex business problems from the ground up.
  • Utilize 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 (Dash, Streamlit, Panel, 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.

Application Instructions

  • Eligibility: This role is exclusively for South African Citizens.
  • Mandatory Requirements: Applicants without a fixed fiber line (minimum 25 Mbps upload & download) and a reliable power backup solution cannot be considered.
  • Follow-up: If you are not contacted within 14 working days, your application will be considered unsuccessful.

Company Information

  • Recruiting Company: ISTA Personnel Solutions
  • Industry: Business Process Outsourcing (BPO)
  • Client: USA-based Healthcare Client

Skills

Problem-solving
Coding
Machine Learning
Random Forest
Gradient Boosting
AutoML
Kaggle
Python
Dash
Streamlit
Panel
Bokeh
Data Analysis
Feature Engineering
Data Cleaning
Model Validation
Model Deployment

A1M Solutions

Design and data support for government healthcare

About A1M Solutions

A1M Solutions specializes in providing design, data, and policy-informed support for government healthcare programs, with a focus on serving disadvantaged populations. The company leverages expertise in government healthcare programs, data analysis, and policy/legislation to design effective business strategies and enhance digital service delivery, utilizing agile research and insights to untangle complex problems and generate thoughtful solutions.

Chico, CA, USAHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Consulting, Social ImpactIndustries
11-50Employees

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