Senior Deep Learning Engineer

Placements24; Rustenburg; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Salary incentives

Remote work

Health benefits

Professional development

AI tools access

Job summary

Placements24 is seeking a highly skilled Senior Deep Learning Engineer to join their innovative team, operating in a fully remote capacity. You will develop and implement advanced deep learning models that handle large datasets and cutting‑edge hardware, collaborating with researchers and engineers globally.

Requires an MS/PhD in CS/AI, 5+ years in DL, and proficiency with Python and DL frameworks (TensorFlow, PyTorch, Keras). Cloud experience and distributed training are essential.

Qualifications

• MS or PhD in Computer Science, AI, or related field with specialization in deep learning.
• 5+ years of professional experience in deep learning development and implementation.
• Proficiency in Python and DL frameworks (TensorFlow, PyTorch, or Keras).
• Experience with cloud platforms and distributed training techniques.

Responsibilities

• Design, train, and optimize deep learning models for CV, NLP, and RL.
• Develop scalable DL infrastructure and pipelines for deployment and monitoring.
• Stay updated with DL research and implement practical solutions.

Skills

Deep learning

Remote work

Problem-solving

Education

MS/PhD in CS/AI

Tools

Python

TensorFlow

PyTorch

Keras

AWS

GCP

Azure

Job description

About the Role

Our client is seeking a highly skilled Senior Deep Learning Engineer to join their innovative team, operating in a fully remote capacity. You will be at the forefront of developing and implementing advanced deep learning models that solve challenging real-world problems. This role offers the opportunity to work with large datasets, cutting-edge hardware, and contribute directly to the advancement of AI capabilities. As a remote team member, you will collaborate closely with researchers and engineers globally, driving projects from conception to deployment.

Key Responsibilities

• Design, train, and optimize deep learning models for various applications, including computer vision, NLP, and reinforcement learning.
• Develop and maintain scalable deep learning infrastructure and pipelines, ensuring efficient model deployment and monitoring.
• Stay abreast of the latest advancements in deep learning research and implement them into practical solutions.
• Collaborate with cross-functional teams to define project requirements and deliver high-quality AI components.
• Write clean, efficient, and well-documented code, adhering to best practices in software engineering and MLOps.

Requirements

• M.S. or Ph.D. in Computer Science, AI, or a related quantitative field with a specialization in deep learning.
• 5+ years of professional experience in deep learning development and implementation.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed training techniques.
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Benefits

• Competitive salary and performance-based incentives.
• Fully remote work arrangement with flexible scheduling.
• Comprehensive benefits package including health, dental, and retirement plans.
• Significant opportunities for professional development and learning.
• Access to state-of-the‑art AI research and development tools.