Deep Learning AI/ML Engineer — Build Next-Gen AI

Placements24; Mossel Bay; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Performance incentives

Learning opportunities

Job summary

Placements24 in Mossel Bay, Western Cape, is seeking an experienced AI/ML Engineer with a Deep Learning focus to join our innovative team. You will develop and deploy advanced models powering next‑generation applications, working across the full ML lifecycle.

The ideal candidate has a strong theoretical grounding and practical experience, excels in Python and DL frameworks, and thrives in a collaborative, fast‑paced environment.

Qualifications

• Bachelor’s or Master’s in CS/Engineering or related field.
• 3+ years of hands-on deep learning model development and deployment.
• Proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Strong knowledge of CNNs, RNNs, Transformers and their applications.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS/Azure/GCP) and Docker is a plus.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, implement, and optimize deep learning models for CV, NLP, or RL.
• Work with large datasets and build robust data preprocessing pipelines.
• Collaborate with engineers and PMs to productionize ML models.
• Test and evaluate models for performance, accuracy, and scalability.
• Stay current with DL/AI research and document models and processes.
• Troubleshoot deployment issues and improve ML infrastructure.

Skills

Python

TensorFlow

PyTorch

Keras

Deep Learning

CNNs

RNNs

Transformers

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

Docker

AWS

Azure

GCP

Job description

Placements24 in Mossel Bay, Western Cape, is seeking an experienced AI/ML Engineer with a Deep Learning focus to join our innovative team. You will develop and deploy advanced models powering next‑generation applications, working across the full ML lifecycle.

The ideal candidate has a strong theoretical grounding and practical experience, excels in Python and DL frameworks, and thrives in a collaborative, fast‑paced environment.