Senior Deep Learning Engineer

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Health, dental, and vision insurance

Generous paid time off

Job summary

Placements24 is seeking a Senior Deep Learning Engineer to design, build, and deploy advanced DL models for AI applications. This fully remote role offers collaboration with top engineers from home offices across South Africa, including Nelspruit and surrounding regions.

The ideal candidate holds a Master's or PhD and has 5+ years of hands-on experience with Python and DL frameworks. Strong knowledge of CNNs, RNNs, and Transformers, plus distributed training, is required for impactful work in a

Qualifications

• 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 TensorFlow, 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.

Responsibilities

• Design, implement, and optimize deep learning models for various applications, including 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 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.

Skills

Python

Deep learning

CNNs/RNNs/Transformers

Education

Master's or PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

Keras

Job description

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.

Key Responsibilities

• 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.

Requirements

• 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 TensorFlow, 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.

Benefits

• 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.