Senior AI Engineer - Deep Learning

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Hybrid work model

Performance bonus

Professional development

Job summary

Placements24 is seeking a Senior AI Engineer in Sandton to design, build, and deploy advanced deep learning models. You will optimize training and inference, collaborating with data scientists and software engineers to productionize complex AI solutions.

The role requires 5+ years in DL engineering, strong Python skills, and experience with TensorFlow/PyTorch/Keras. A hybrid work setup and competitive compensation are offered.

Qualifications

• Master's or PhD in Computer Science, AI, or related field.
• 5+ years in deep learning engineering and model development.
• Proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Strong understanding of ML theory, algorithms, and statistics.

Responsibilities

• Design, develop, and deploy deep learning models for various applications.
• Optimize model performance for large-scale deployments.
• Collaborate with data scientists and software engineers to integrate models into production.

Skills

Deep learning

Python

TensorFlow

PyTorch

Keras

MLOps

Cloud platforms

Docker/Kubernetes

Machine learning theory

Statistical modeling

Education

Master's or PhD in CS/AI

Tools

AWS

Azure

GCP

Job description

About the Role

Our client, a leader in AI and Emerging Technologies , is seeking a highly experienced Senior AI Engineer specializing in Deep Learning to join their team in Sandton . This role requires a deep technical understanding of deep learning frameworks and architectures, coupled with the ability to design, build, and deploy sophisticated AI models. You will work on challenging problems, pushing the boundaries of what's possible with machine learning to create innovative solutions. This position offers a great opportunity to contribute to cutting-edge AI development in a collaborative, hybrid work environment.

Key Responsibilities

• Design, develop, and implement advanced deep learning models for various applications, including but not limited to neural networks, CNNs, RNNs, and Transformers.
• Optimize model performance, training processes, and inference efficiency for large-scale deployments.
• Collaborate with data scientists and software engineers to integrate models into production systems and pipelines.
• Conduct research and experimentation to explore new deep learning techniques and their applications.
• Mentor junior engineers and contribute to the team's technical growth and best practices.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• 5+ years of professional experience in deep learning engineering and model development.
• Expertise in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of machine learning theory , algorithms, and statistical modeling.
• Experience with MLOps, cloud platforms (AWS, Azure, GCP), and containerization technologies is highly desirable.

Benefits

• Excellent salary and performance-based bonus opportunities.
• Hybrid work model providing flexibility between office and remote work.
• Comprehensive health, dental, and vision insurance coverage.
• Significant budget for professional development, conferences, and further education.
• A stimulating and collaborative environment focused on pushing the frontiers of AI research and development .