Remote Senior Machine Learning Engineer

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Stock options

Fully remote

Global health insurance

Home office budget

Career development funds

Job summary

Placements24 is seeking a Remote Senior Machine Learning Engineer to join our distributed engineering team, building scalable ML systems and deploying models at scale. You'll mentor junior engineers, optimize models for production, collaborate with data scientists, and contribute to ML infrastructure in a remote-first environment.

This is a unique opportunity to influence AI strategy across global products.

Qualifications

• Master's degree or PhD in Computer Science, ML, or equivalent experience.
• 5+ years of professional ML engineering or software development with ML focus.
• Expertise in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Proven experience with cloud platforms (AWS SageMaker, Google AI Platform, Azure ML).
• Strong understanding of MLOps and tools (Docker, Kubernetes, CI/CD).

Responsibilities

• Lead design, development, and deployment of scalable ML systems and pipelines.
• Optimize ML models for production with focus on performance, latency, and cost.
• Mentor junior engineers and promote ML engineering best practices (MLOps).
• Collaborate with data scientists to productionize research models.
• Develop and maintain monitoring/alerting for deployed models.
• Contribute to ML platform architecture and infra decisions.

Skills

Python

ML model development

MLOps practices

Problem solving

Remote collaboration

Education

Master's or PhD in CS/ML

Tools

Docker

Kubernetes

CI/CD

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is looking for an accomplished Remote Senior Machine Learning Engineer to join their distributed engineering team. This role is ideal for an experienced professional who excels at building and deploying sophisticated machine learning models at scale. You will lead initiatives in developing ML infrastructure, optimizing model performance, and integrating AI capabilities into core products. Working remotely, you'll collaborate with a global team of talented engineers and data scientists, contributing to the advancement of our AI-driven platform. This is a fantastic opportunity to make a significant impact on our AI strategy and work with cutting-edge technologies in a flexible, remote-first environment.

Key Responsibilities

• Lead the design, development, and deployment of scalable machine learning systems and pipelines.
• Optimize ML models and algorithms for production environments, focusing on performance, latency, and cost-efficiency.
• Mentor junior engineers and contribute to best practices in ML engineering and MLOps.
• Collaborate with data scientists to translate research models into robust, production-ready code.
• Develop and maintain monitoring and alerting systems for deployed ML models.
• Contribute to the architecture and infrastructure decisions for the ML platform.

Requirements

• Master's degree or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• 5+ years of professional experience in machine learning engineering or software development with a focus on ML.
• Expertise in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn).
• Proven experience with cloud platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD).
• Excellent problem-solving skills and ability to work autonomously in a remote setting.

Benefits

• Highly competitive salary and stock options.
• Fully remote work arrangement with flexible hours.
• Comprehensive global health insurance.
• Generous budget for home office setup and professional development.
• Opportunity to lead challenging ML projects from concept to production.