Senior Deep Learning Engineer

About the Role Our client is a leader in developing intelligent systems that are transforming industries, and we are seeking a Senior Deep Learning Engineer to join our innovative and fully remote team. You will be responsible for designing, building, and deploying sophisticated deep learning models that power our next-generation AI applications. This role demands a deep understanding of neural network architectures, training methodologies, and practical implementation challenges.

As a remote employee, you will collaborate with a diverse group of top-tier engineers and researchers, contributing to groundbreaking work from your home office, located anywhere within
** Nelspruit, Mpumalanga, ZA**, or surrounding regions.

• Design, implement, and optimize deep learning models for various applications, including but not limited to computer vision, NLP, and time-series analysis.
• Develop and maintain robust training pipelines and infrastructure.
• Conduct experiments, analyze results, and iterate on model architectures and hyperparameters.
• Collaborate with data scientists and software engineers to integrate deep learning models into production systems.
• Research and apply state-of-the-art deep learning techniques and algorithms.
• Ensure the scalability, efficiency, and performance of deep learning solutions.
• Mentor junior engineers and contribute to the team's technical knowledge base.
• Stay abreast of the latest advancements in deep learning and contribute to thought leadership.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of hands-on experience in developing and deploying deep learning models.
• Expertise in Python and deep learning frameworks such as Tensor Flow, PyTorch, or Keras.
• Strong theoretical understanding of various neural network architectures (CNNs, RNNs, Transformers, etc.).
• Experience with large-scale datasets and distributed training environments.
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication skills and the ability to thrive in a fully remote, collaborative environment.

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement with significant flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Opportunities for professional development, conference attendance, and further education.
• Access to cutting-edge research and development tools.
• Opportunity to work on impactful AI projects with a global team.
• Home office setup stipend.