Remote AI/ML Engineer — Deep Learning in Production

Placements24; Upington; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Professional development

Flexible working hours

Collaborative team

Job summary

Placements24 is seeking an AI/ML Software Engineer specializing in Deep Learning to design, train, and deploy sophisticated models in production. You will build scalable ML pipelines, collaborate with researchers, and optimize for performance while applying MLOps practices in a fully remote role.

The ideal candidate has strong software engineering skills, extensive experience with TensorFlow/PyTorch/Keras, and cloud/container skills (AWS/Azure/GCP, Docker, Kubernetes).

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Experience building and deploying deep learning models with TensorFlow, PyTorch, or Keras.
• Strong Python programming skills and software engineering practices.
• Solid understanding of deep learning architectures, algorithms, and math foundations.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and teamwork; strong communication in a remote environment.

Responsibilities

• Design, train, and deploy deep learning models for production use.
• Develop scalable ML pipelines and inference engines.
• Collaborate with data scientists to translate research into production solutions.
• Optimize model performance for speed, accuracy, and resources.
• Implement and maintain MLOps for deployment and monitoring.

Skills

TensorFlow

PyTorch

Keras

Python

MLOps

AWS/Azure/GCP

Docker

Kubernetes

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Job description

Placements24 is seeking an AI/ML Software Engineer specializing in Deep Learning to design, train, and deploy sophisticated models in production. You will build scalable ML pipelines, collaborate with researchers, and optimize for performance while applying MLOps practices in a fully remote role.

The ideal candidate has strong software engineering skills, extensive experience with TensorFlow/PyTorch/Keras, and cloud/container skills (AWS/Azure/GCP, Docker, Kubernetes).