Remote AI/ML Software Engineer: Build Scalable Solutions

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

Benefits offered by this job

Remote work

Performance-based bonuses

Health, dental, and vision insurance

Paid time off

Flexible work hours

Continuous learning opportunities

Remote team culture

Job summary

Placements24 is seeking a talented AI/ML Software Engineer to join a remote-first team. You will design, implement, and deploy AI-powered features across scalable software solutions, collaborating with data scientists and product managers in a fully remote environment.

The role covers the full software development lifecycle, from concept to deployment, with a focus on delivering business value through AI capabilities and robust engineering practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Software Engineer with a focus on AI/ML applications.
• Proficiency in Python, Java, or C++.
• Experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design, develop, and deploy AI/ML models into production systems.
• Collaborate with data scientists to refine models for production use.
• Write clean, well-documented code following best software practices.
• Build and maintain APIs and microservices for AI features.
• Optimize performance and scalability for large-scale deployments.
• Participate in code reviews and design discussions.

Skills

Python

Java

C++

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Docker

Kubernetes

Job description

Placements24 is seeking a talented AI/ML Software Engineer to join a remote-first team. You will design, implement, and deploy AI-powered features across scalable software solutions, collaborating with data scientists and product managers in a fully remote environment.

The role covers the full software development lifecycle, from concept to deployment, with a focus on delivering business value through AI capabilities and robust engineering practices.