Machine Learning Engineer (Applied AI-IoT & Deep-Tech Domain)

We are looking for a dedicated Machine Learning Engineer to join our team in the Applied AI-IoT and Deep-Tech domain. This role is designed for a technical problem-solver who is passionate about deploying intelligent solutions at the intersection of hardware and software.

Key Responsibilities

• Architect & Deploy: Design and implement ML models specifically optimized for IoT environments and edge computing.
• Sensor Data Integration: Work with real-time data streams from IoT devices to build predictive models and automated insights.
• Optimize Performance: Refine deep learning architectures to ensure high performance on resource-constrained devices.
• Collaborate: Work closely with cross-functional teams to translate complex deep-tech concepts into scalable products.

Qualifications

• Proven experience in Machine Learning and Deep Learning.
• Strong background in Applied AI-IoT (Edge AI, sensor fusion, or real-time analytics).
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or JAX.
• Familiarity with IoT protocols and cloud-to-edge deployment pipelines.
• A "deep-tech" mindset comfortable tackling unconventional technical challenges.

Why Join Us?

Join a mission-driven environment where your work directly impacts real-world productivity through cutting-edge technology. We value innovation, technical rigor, and the drive to build solutions for digitally underserved sectors.

How to Apply

Please send your CV and a brief summary of your most relevant AI-IoT project via DM or apply directly through this post.