Senior Deep Learning Engineer

Placements24; Paarl; Hybrid; ZAR 1,200,000 - 1,600,000; Full time

Benefits offered by this job

Performance-based bonuses

Comprehensive medical, dental, and виз

Job summary

Placements24 in Paarl, South Africa, seeks a Senior Deep Learning Engineer to join its AI & Emerging Technologies team. You will design, implement, and optimize state-of-the-art deep learning models for real-world applications, mentoring junior engineers and collaborating with researchers to push the boundaries of intelligent systems.

The role requires advanced degrees and 5+ years of experience in deep learning, with expertise in TensorFlow, PyTorch, or Keras, and strong Python skills.

Qualifications

• Master's or PhD in Computer Science, AI, or related field with specialization in Deep Learning.
• 5+ years of professional experience in deep learning engineering and research.
• Expertise in TensorFlow, PyTorch, or Keras.

Responsibilities

• Design, develop, and train deep learning models for CV, NLP, and RL tasks.
• Optimize architectures and algorithms for performance and scalability on large datasets.
• Implement and maintain deep learning pipelines for training, evaluation, and deployment.
• Collaborate with data scientists to translate theory into practical implementations.
• Stay current with latest research in deep learning and related fields.
• Contribute to code reviews and mentoring junior engineers.

Skills

Deep learning

Python

GPU computing

Distributed training

Research & development

Education

Master's or PhD in Computer Science/AI

Tools

TensorFlow

PyTorch

Keras

Job description

About the Role

Our client is seeking a highly skilled Senior Deep Learning Engineer to join their advanced AI & Emerging Technologies team in Paarl. This role is dedicated to researching, designing, and implementing state-of-the-art deep learning models for complex real-world applications. You will be instrumental in pushing the boundaries of AI, contributing to innovative projects that require deep expertise in neural networks and computational power. This is a unique opportunity to work with cutting-edge technology, collaborate with world-class researchers, and make a significant impact on the future of intelligent systems, contributing to a culture of innovation and excellence.

Key Responsibilities

• Design, develop, and train advanced deep learning models for tasks such as computer vision, NLP, and reinforcement learning.
• Optimize deep learning architectures and algorithms for performance and scalability on large datasets.
• Implement and maintain deep learning pipelines for training, evaluation, and deployment.
• Collaborate with data scientists and researchers to translate theoretical concepts into practical implementations.
• Stay current with the latest research and advancements in deep learning and related fields.
• Contribute to code reviews, knowledge sharing, and mentoring junior engineers.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field with a specialization in Deep Learning.
• 5+ years of professional experience in deep learning engineering and research.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with relevant libraries.
• Solid understanding of computer vision, natural language processing, or reinforcement learning techniques.
• Experience with GPU computing and distributed training environments.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision benefits.
• Opportunities for significant professional development and attending leading AI conferences.
• Access to advanced computing infrastructure and cutting-edge research facilities.
• A dynamic, collaborative, and research-oriented work environment.