Deep Learning Engineer

Placements24; Klerksdorp; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Professional development opportunities

Health benefits

Access to HPC resources

Cutting-edge AI projects

Job summary

Placements24 in South Africa is seeking a skilled Deep Learning Engineer to join their R&D team in Klerksdorp. The role focuses on designing, building, and optimizing deep learning models for advanced AI applications.

You will work in a hybrid setting, collaborating with researchers and software engineers to push the boundaries of neural networks and AI. This opportunity offers access to high-performance computing resources, exposure to cutting-edge projects, and support for ongoing learning and

Qualifications

• Master's or Ph.D. in CS/AI with focus on deep learning.
• Strong experience with TensorFlow, PyTorch, or Keras.
• Proficiency in Python and libraries like NumPy and Pandas.
• Solid understanding of CNNs, RNNs, and Transformers.
• Experience with GPU computing and distributed training is a plus.
• Strong analytical and problem-solving capabilities.

Responsibilities

• Develop and implement state-of-the-art deep learning models for tasks such as image recognition, natural language processing, and time-series analysis.
• Train, fine-tune, and evaluate deep neural networks using large datasets.
• Optimize model architectures and training processes for performance and efficiency.
• Collaborate with data scientists and software engineers to integrate deep learning models into production systems.
• Stay current with the latest research and advancements in deep learning.
• Contribute to the development of internal tools and libraries for deep learning experimentation.

Skills

Deep learning

Python

Analytical problem-solving

Team collaboration

Education

Master's or Ph.D. in Computer Science/AI

Tools

TensorFlow

PyTorch

Keras

NumPy

Pandas

Job description

About the Role

Our client is looking for a skilled Deep Learning Engineer to join their research and development team in Klerksdorp . This role focuses on designing, building, and optimizing deep learning models for advanced applications. You will work in a hybrid setting, collaborating with researchers and software engineers to push the boundaries of what's possible with neural networks and AI. This is an excellent opportunity to contribute to transformative projects within AI & Emerging Technologies and grow your expertise in a supportive and innovative environment.

Key Responsibilities

• Develop and implement state-of-the-art deep learning models for tasks such as image recognition, natural language processing, and time-series analysis.


• Train, fine-tune, and evaluate deep neural networks using large datasets.


• Optimize model architectures and training processes for performance and efficiency.


• Collaborate with data scientists and software engineers to integrate deep learning models into production systems.


• Stay current with the latest research and advancements in deep learning.


• Contribute to the development of internal tools and libraries for deep learning experimentation.

Requirements

• Master's or Ph.D. in Computer Science, AI, or a related field with a focus on deep learning.


• Strong experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.


• Proficiency in Python and experience with relevant libraries (NumPy, Pandas).


• Solid understanding of various neural network architectures (CNNs, RNNs, Transformers).


• Experience with GPU computing and distributed training is a plus.


• Strong analytical and problem-solving capabilities.

Benefits

• Competitive salary and potential for bonuses.


• Hybrid work model providing work-life balance.


• Comprehensive health benefits package.


• Support for continuous learning and conference attendance.


• Access to high-performance computing resources.


• Engaging projects at the cutting edge of AI research.