Senior Deep Learning Engineer — Remote

Placements24; Klerksdorp; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Professional development

Flexible hours

Cloud resources access

Remote work stipend

Job summary

Placements24 is seeking a Senior AI Engineer to drive deep learning initiatives for a remote role with global impact. You will design, implement, and optimize DL models across computer vision, NLP, and analytics at scale.

Join a world-class AI team, mentor engineers, and contribute to production-ready pipelines while collaborating with product and software teams in a flexible, remote setting. A strong publication and research mindset is valued.

Qualifications

• Master's or Ph.D. in Computer Science, AI, or related field.
• 5+ years of professional AI/ML experience with deep learning focus.
• Proficiency in TensorFlow, PyTorch, or Keras.
• Strong Python programming skills with NumPy, Pandas, Scikit-learn.
• Experience deploying models to production and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Lead development and deployment of deep learning models for CV, NLP, and analytics.
• Build scalable ML pipelines from data processing to model serving.
• Optimize models for performance across diverse hardware.
• Collaborate with product and software teams to translate requirements.
• Stay ahead with cutting-edge DL research and integrate new techniques.
• Mentor junior engineers and contribute to AI best practices.
• Write clean, well-documented, maintainable code and participate in code reviews.

Skills

Deep Learning

Python programming

Remote collaboration

Cloud concepts

Education

Master's or PhD in Computer Science/AI

Tools

TensorFlow

PyTorch

Keras

Docker

Kubernetes

NumPy

Pandas

Scikit-learn

Job description

Placements24 is seeking a Senior AI Engineer to drive deep learning initiatives for a remote role with global impact. You will design, implement, and optimize DL models across computer vision, NLP, and analytics at scale.

Join a world-class AI team, mentor engineers, and contribute to production-ready pipelines while collaborating with product and software teams in a flexible, remote setting. A strong publication and research mindset is valued.