Remote ML Engineer — Build & Deploy Production Models

Placements24; East London; Hybrid; ZAR 1,983,000 - 2,975,000; Full time

Benefits offered by this job

Performance bonuses

Global health, dental, and vision

Professional development allowance

Stock options

Flexible remote work

Job summary

Placements24 is seeking a forward-thinking Machine Learning Engineer to join their innovation hub in a fully remote capacity. You will design, build, and deploy production-ready ML systems against massive datasets. You will collaborate with data scientists and software engineers, optimize models for cloud environments, and stay on the cutting edge of ML algorithms.

A Master's or Ph.D. and 3+ years of hands-on experience are required.

Qualifications

• Master's or Ph.D. in Computer Science, AI, ML, or related field.
• 3+ years hands-on experience deploying ML models in production.
• Strong Python proficiency and ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience with data processing and big data tech (Spark, Hadoop).
• Cloud familiarity (AWS, Azure, GCP) and MLOps practices.

Responsibilities

• Design, build, train, and deploy ML models for various applications.
• Develop and maintain robust ML pipelines for data processing and deployment.
• Collaborate with data scientists and software engineers to productionize models.
• Optimize models for performance, scalability, and cloud environments.
• Monitor model performance, drift, and retraining strategies.
• Research and evaluate new ML algorithms and tools.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Keras

Spark

Hadoop

AWS

Azure

GCP

MLOps

ML algorithms

Education

Master's or Ph.D. in Computer Science/AI/ML

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Spark

Hadoop

Job description

Placements24 is seeking a forward-thinking Machine Learning Engineer to join their innovation hub in a fully remote capacity. You will design, build, and deploy production-ready ML systems against massive datasets. You will collaborate with data scientists and software engineers, optimize models for cloud environments, and stay on the cutting edge of ML algorithms.

A Master's or Ph.D. and 3+ years of hands-on experience are required.