Senior AI Engineer - Deep Learning Infrastructure

Placements24; Mbombela (Nelspruit); Híbrido; ZAR 1 200 000 - 1 800 000; Tempo integral

Resumo da oferta

Placements24 is seeking a Senior AI Engineer specializing in Deep Learning Infrastructure to design, build, and maintain scalable ML infrastructure for training and deployment of large-scale models. This fully remote role welcomes candidates across South Africa and emphasizes distributed systems, cloud computing, and MLOps capabilities.

You will collaborate with AI researchers and engineers, optimize training pipelines, and contribute to a robust and secure AI platform while keeping pace with

Qualificações

• Bachelor's or Master's in CS, SE, or related field.
• 5+ years in software engineering with infrastructure/MLOps.
• Proven experience building DL infrastructure.
• Proficiency in Python and scripting.
• Experience with cloud platforms and containers (Docker/Kubernetes).
• Familiarity with TensorFlow or PyTorch.
• Strong system design and performance optimization.
• Excellent problem-solving and remote collaboration.

Responsabilidades

• Design, implement, and manage scalable DL infrastructure on cloud platforms (AWS/Azure/GCP).
• Optimize training pipelines for speed and efficiency using distributed computing.
• Develop ML deployment, monitoring, and MLOps tooling.
• Collaborate with researchers to understand infrastructure needs and provide solutions.
• Ensure reliability, security, and performance of the AI platform.
• Automate provisioning, configuration, and management tasks.
• Troubleshoot training and inference issues.
• Stay up-to-date with DL infra trends and best practices.

Conhecimentos

Cloud computing

MLOps

Python

Distributed systems

Docker

Kubernetes

TensorFlow

PyTorch

System design

Networking

Remote collaboration

Formação académica

Bachelor's or Master's in CS/SE

Ferramentas

Docker

Kubernetes

AWS

Azure

GCP

Descrição da oferta de emprego

About the Role

Our client is a rapidly growing AI company focused on building scalable and efficient deep learning systems. We are seeking a Senior AI Engineer specializing in Deep Learning Infrastructure to join our dynamic team. This position is fully remote, allowing you to contribute from anywhere in South Africa. You will be responsible for designing, building, and maintaining the robust infrastructure required to train and deploy large-scale deep learning models. This role requires a strong understanding of distributed systems, cloud computing, and the nuances of deep learning frameworks. If you are passionate about enabling cutting-edge AI research and development through powerful infrastructure, this is the ideal opportunity.

Key Responsibilities

• Design, implement, and manage scalable deep learning infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Optimize training pipelines for speed and efficiency using distributed computing techniques.
• Develop and maintain tools and frameworks for ML model deployment, monitoring, and management (MLOps).
• Work closely with AI researchers and engineers to understand their infrastructure needs and provide solutions.
• Ensure the reliability, security, and performance of the AI/ML platform.
• Automate infrastructure provisioning, configuration, and management tasks.
• Troubleshoot and resolve issues related to deep learning training and inference.
• Stay up-to-date with the latest trends and best practices in deep learning infrastructure and MLOps.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software engineering, with a significant focus on infrastructure, cloud computing, or MLOps.
• Proven experience building and managing infrastructure for deep learning workloads.
• Proficiency in Python and scripting languages.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and distributed training concepts.
• Strong understanding of system design, networking, and performance optimization.
• Excellent problem-solving and debugging skills.
• Ability to work effectively in a fully remote, collaborative environment.

Benefits

Our client offers a competitive salary, excellent benefits, and opportunities for professional growth. As a fully remote position, you will enjoy the flexibility to work from your preferred location. We provide access to cutting-edge technologies, opportunities to work on impactful AI projects, and a supportive, collaborative team culture. Join us in building the future of AI infrastructure.