AI Integration Specialist - IoT and Edge Computing

Placements24; East London; Híbrido; ZAR 600 000 - 1 000 000; Tempo parcial

Resumo da oferta

Placements24 is seeking an AI Integration Specialist with IoT and edge computing expertise for East London, Eastern Cape, ZA. You will design, deploy, and optimize AI models for edge devices, working across embedded Linux and constrained hardware in a hybrid in-office/remote setting.

The role requires 3+ years in AI/ML with IoT integration, proficiency in Python/C++, and experience with model optimization tools. Collaboration with hardware and software teams is essential.

Qualificações

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in AI/ML development, with a focus on integration with IoT or edge computing systems.
• Proficiency in programming languages commonly used in embedded systems (e.g., Python, C/C++).
• Experience with machine learning frameworks and tools for model optimization and deployment (e.g., TensorFlow Lite, PyTorch Mobile, ONNX Runtime).
• Understanding of IoT protocols, hardware, and edge computing architectures.
• Familiarity with cloud platforms and services for IoT data management and AI deployment.

Responsabilidades

• Integrate AI and machine learning models into IoT devices and edge computing platforms.
• Optimize AI models for deployment on resource-constrained edge hardware, considering factors like computational power, memory, and battery life.
• Develop and maintain data pipelines for data collection, processing, and analysis from IoT sensors and edge devices.
• Collaborate with hardware engineers and software developers to ensure seamless integration of AI solutions.
• Implement strategies for edge AI model training, updates, and lifecycle management.
• Test and validate AI model performance and reliability in real-world edge environments.
• Stay current with advancements in edge AI, IoT technologies, and related hardware.
• Troubleshoot issues related to AI model performance and integration on edge devices.
• Document integration processes, system architectures, and best practices.
• Contribute to the architectural design of intelligent IoT systems.

Descrição da oferta de emprego

About the Role

Our client, a forward-thinking innovator in the AI & Emerging Technologies space, is seeking a dynamic AI Integration Specialist with expertise in IoT and Edge Computing . This role is based in East London, Eastern Cape, ZA and offers a unique opportunity to work on the cutting edge of intelligent systems by bridging AI capabilities with the Internet of Things and edge devices. You will be responsible for designing, implementing, and deploying AI models that operate efficiently on resource-constrained edge hardware, enabling real-time intelligence and decision-making. The ideal candidate is proficient in both AI/ML and embedded systems development. This hybrid role allows for collaborative in-office work and focused remote contribution, supporting diverse projects within a rapidly growing field.

Key Responsibilities

• Integrate AI and machine learning models into IoT devices and edge computing platforms.
• Optimize AI models for deployment on resource-constrained edge hardware, considering factors like computational power, memory, and battery life.
• Develop and maintain data pipelines for data collection, processing, and analysis from IoT sensors and edge devices.
• Collaborate with hardware engineers and software developers to ensure seamless integration of AI solutions.
• Implement strategies for edge AI model training, updates, and lifecycle management.
• Test and validate AI model performance and reliability in real-world edge environments.
• Stay current with advancements in edge AI, IoT technologies, and related hardware.
• Troubleshoot issues related to AI model performance and integration on edge devices.
• Document integration processes, system architectures, and best practices.
• Contribute to the architectural design of intelligent IoT systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in AI/ML development, with a focus on integration with IoT or edge computing systems.
• Proficiency in programming languages commonly used in embedded systems (e.g., Python, C/C++).
• Experience with machine learning frameworks and tools for model optimization and deployment (e.g., TensorFlow Lite, PyTorch Mobile, ONNX Runtime).
• Understanding of IoT protocols, hardware, and edge computing architectures.
• Familiarity with cloud platforms and services for IoT data management and AI deployment.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills, essential for hybrid work.
• Experience with embedded Linux and real-time operating systems is a plus.
• Must be legally authorized to work in South Africa and reside within commuting distance of East London, Eastern Cape, ZA.

Benefits

This contractor position offers a competitive remuneration package, with remuneration commensurate with experience and expertise. While not a permanent employee, the role provides exposure to cutting-edge AI and IoT projects. Opportunities to gain valuable experience in edge AI deployment are significant. The hybrid work arrangement offers flexibility in managing your work schedule. This role is ideal for a specialist seeking to apply their skills on impactful, short-to-medium term projects. Professional development opportunities may be available through specific project engagements. The client provides a dynamic work environment and access to relevant technical resources.