A1M Solutions

Senior Python Developer (ML & Data Engineering) - EST Hours (Remote)

South Africa

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Business Process Outsourcing (BPO)Industries

About ISTA Personnel Solutions South Africa

ISTA Personnel Solutions South Africa is a dynamic and fast-growing BPO company based in South Africa, specializing in providing top-tier operational support to U.S.-based companies. We are not a recruitment agency—we are a dedicated extension of our clients’ teams, delivering high-quality service with precision, efficiency, and a personal touch.

Role Overview

We are seeking an experienced Senior Python Developer (Machine Learning & Data Engineering) with strong expertise in machine learning, data engineering, and web automation to lead innovative projects in our growing team. If you love working with data at scale, building intelligent solutions, and mentoring others, this role is an exciting opportunity to make a big impact.

Working Hours and Requirements

Working Hours: This role requires you to work EST hours Mon - Fri from 9am to 6pm EST (15h00 to 24h00 South African time - subject to change depending on daylight savings).

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.

Work Environment: This is a fully remote working role.

Responsibilities

  • Lead the development of machine learning models from concept to deployment.
  • Design and implement advanced web scraping and large-scale data gathering solutions.
  • Collaborate with stakeholders to define technical requirements and deliverables.
  • Architect scalable, efficient, and well-documented Python-based solutions.
  • Mentor junior developers, conduct code reviews, and ensure best practices.
  • Troubleshoot and resolve complex issues across ML and data pipelines.

Requirements

  • Solid professional experience in Python (minimum 3–5 years in a professional environment).
  • Hands-on experience with machine learning libraries (e.g., Scikit-Learn, XGBoost, LightGBM, or similar).
  • Strong skills in data manipulation & analysis (Pandas, NumPy) and data visualization (Matplotlib, Power BI, Seaborn, or Plotly).
  • Experience with web scraping frameworks (Selenium, Playwright, Beautiful Soup, or similar).
  • Ability to work independently and lead complex technical projects.

Nice to Have

  • Kaggle competition experience or other ML project recognition.
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Knowledge of additional scraping tools and data libraries.

Why Join Us?

  • Work on cutting-edge machine learning and data automation projects.
  • Collaborative team environment with opportunities for growth.

Note: If you are not contacted within 14 working days, please consider your application unsuccessful.

Additional Details

  • Employment Type: full
  • Workplace: remote
  • Language: en
  • Department: SA - Operations
  • Published: 2025-08-12
  • Remote: Yes

Skills

Python
Machine Learning
Data Engineering
Web Scraping
Data Gathering
Web Automation
Scalable Solutions
Code Reviews
Troubleshooting
ML Pipelines
Data Pipelines

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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