Senior Deep Learning Engineer (Remote First)

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Global health, dental, and vision §ins

Generous time off

Professional development budget

Stock options or performance bonuses

Access to cutting-edge computing

Virtual team events

Job summary

Placements24 is seeking a Senior Deep Learning Engineer for a fully remote position. You will design, implement, and optimize state-of-the-art deep learning models (CNNs, RNNs, Transformers) across domains, collaborating with a global team from concept to production deployment.

The ideal candidate holds a PhD or MS in CS/ML with 5+ years of hands-on DL experience and proficiency in TensorFlow, PyTorch, Python, and cloud platforms.

Qualifications

• PhD or Master’s in Computer Science, ML, AI or related field.
• 5+ years hands-on experience in deep learning R&D.
• Expertise with TensorFlow, PyTorch, or Keras.
• Strong Python programming and data library skills.
• Experience deploying DL models in production environments.

Responsibilities

• Design, develop, and train deep learning models (CNNs, RNNs, Transformers).
• Implement and optimize DL algorithms for AI applications.
• Collaborate with researchers and engineers in a remote setting.
• Deploy models into production with scalability and performance.

Skills

Deep learning

TensorFlow

PyTorch

Python

Research

Distributed training

Remote work

Education

PhD in CS/ML

Master's degree in CS/ML

Tools

NumPy

Pandas

Keras

AWS/Azure/GCP

Job description

About the Role

Our client, a groundbreaking AI research and development firm, is seeking a Senior Deep Learning Engineer for a fully remote position. This role is designed for individuals with a profound understanding of deep learning architectures and a passion for pushing the boundaries of AI innovation. You will be responsible for designing, implementing, and optimizing state-of-the‑art deep learning models for complex tasks across various domains. Working within a globally distributed team, you will contribute to high‑impact projects, from conceptualization to production deployment, all within a remote‑first framework. If you are a driven deep learning expert looking to make a significant impact, this is the opportunity for you.

Key Responsibilities

• Design, develop, and train sophisticated deep learning models (CNNs, RNNs, Transformers, etc).
• Implement and optimize deep learning algorithms for various AI applications.
• Collaborate with researchers and engineers in a remote setting to define project goals and technical approaches.
• Deploy deep learning models into production environments, ensuring scalability and performance.
• Conduct rigorous experimentation and evaluation of model performance.
• Stay abreast of the latest advancements and research in deep learning and AI.
• Write clean, efficient, and maintainable code in Python and relevant ML frameworks.
• Troubleshoot and resolve complex technical issues related to deep learning systems.
• Contribute to the architectural design of scalable AI/ML platforms.
• Mentor junior engineers and share expertise within the team.

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 5+ years of hands-on experience in deep learning research and development.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and proficiency with libraries like NumPy and Pandas.
• Proven experience in deploying deep learning models in production environments.
• Solid understanding of computer vision, natural language processing, or reinforcement learning.
• Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and collaboration skills, adapted for remote work.
• Ability to work independently and lead technical initiatives.

Benefits

• Highly competitive annual salary of up to R , commensurate with experience.
• A fully remote work setup offering global flexibility.
• Comprehensive global health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Significant budget for professional development, including courses and conferences.
• Opportunity to work on cutting‑edge research and development in AI.
• Access to world‑class computing infrastructure.
• A culture that values innovation, collaboration, and continuous learning.
• Stock options or performance bonuses for outstanding contributions.
• Virtual team events and a supportive online community.