Hybrid Deep Learning Engineer — AI Research to Deployment

Placements24; Klerksdorp; Hybrid; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Hybrid work environment

Competitive salary

Health insurance

Professional development opportunities

Advanced computing resources

Paid time off

Zusammenfassung

Placements24 in Klerksdorp, North West, ZA seeks a highly skilled Machine Learning Engineer specializing in Deep Learning to join their hybrid team. You will research, develop, and deploy advanced DL models across domains, working with state-of-the-art technologies and collaborating with data scientists and software engineers.

You will contribute to robust ML pipelines, model validation, and ongoing improvements while staying abreast of DL advances.

Qualifikationen

• Master's or PhD in Computer Science, AI, or related field.
• Minimum 3 years hands-on experience in developing and deploying deep learning models.
• Proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Strong understanding of CNNs, RNNs, Transformers, etc.
• Experience with data preprocessing and model evaluation techniques for DL.
• Familiarity with cloud ML services (AWS, Azure, GCP).

Aufgaben

• Design, train, and optimize deep learning models for various applications.
• Develop scalable machine learning pipelines for data processing, model training, and deployment.
• Collaborate with data scientists and software engineers to productionize models.
• Monitor model performance and implement improvements as needed.
• Stay current with the latest advancements in deep learning research and technologies.
• Write clean, efficient Python code and thorough tests.

Kenntnisse

Problem solving

Communication

Teamwork

Independent work

Ausbildung

Master's or PhD in Computer Science/AI

Tools

Python

TensorFlow

PyTorch

Keras

Git

Jobbeschreibung

Placements24 in Klerksdorp, North West, ZA seeks a highly skilled Machine Learning Engineer specializing in Deep Learning to join their hybrid team. You will research, develop, and deploy advanced DL models across domains, working with state-of-the-art technologies and collaborating with data scientists and software engineers.

You will contribute to robust ML pipelines, model validation, and ongoing improvements while staying abreast of DL advances.