Remote ML Engineer: Predictive Analytics & Impact

Placements24; Gqeberha; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Fully remote in SA

Continuous learning opportunities

Job summary

Placements24 in South Africa is seeking a Machine Learning Engineer to design, build, and deploy scalable ML models from data to production. This remote role lets you work from any location in SA while collaborating with data scientists and engineers.

You will perform data exploration, feature engineering, model evaluation, and deployment, using Python, TensorFlow or PyTorch, and ML libraries, with a focus on reliability and impact.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Statistics, or related quantitative field.
• Proven experience as ML Engineer or Data Scientist focused on applied ML.
• Proficiency in Python and ML libraries (Scikit-learn, Pandas, NumPy, TensorFlow/PyTorch).
• Experience with data visualization tools and techniques.
• Understanding of cloud platforms (AWS/Azure/GCP) and MLOps concepts.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics and classification.
• Perform data exploration, cleaning, and feature engineering.
• Train, evaluate, and optimize ML algorithms including deep learning.
• Deploy models into production and monitor performance.
• Collaborate with data scientists and software engineers to integrate ML solutions.
• Stay updated with ML and MLOps advancements.

Skills

Machine Learning

Data visualization

Remote collaboration

Analytical thinking

Problem solving

Education

Bachelor's degree in CS/DS/Stats

Master's degree preferred

Tools

Python

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

Job description

Placements24 in South Africa is seeking a Machine Learning Engineer to design, build, and deploy scalable ML models from data to production. This remote role lets you work from any location in SA while collaborating with data scientists and engineers.

You will perform data exploration, feature engineering, model evaluation, and deployment, using Python, TensorFlow or PyTorch, and ML libraries, with a focus on reliability and impact.