AI/ML Engineer – Edge Specialization

Position Overview

We are seeking a innovative and motivated AI Engineer to join our Advanced Sensing Lab. The ideal candidate will have hands-on experience in machine vision or other sensing modalities, a strong background in deploying edge-based AI models, and a keen interest in advancing the state-of-the-art in artificial intelligence. This role will play a pivotal part in scoping, designing, developing, and operationalizing AI prototypes in a low-power, low-latency setting.

Key Responsibilities

·      Design, develop, and optimize computer vision or sensor-based AI models using frameworks such as PyTorch, TensorFlow, and OpenCV.

·      Deploy, monitor, and maintain AI models on edge devices leveraging platforms like NVIDIA Jetson, Azure IoT Edge, or similar hardware.

·      Implement and maintain scalable MLOps pipelines using tools such as Databricks, MLflow, and Azure Machine Learning (particularly for cloud-trained, edge-deployed workflows).

·      Collaborate with data engineers, software developers, and product teams to integrate AI solutions into production environments.

·      Conduct performance tuning, model compression, and quantization for efficient inference on resource-constrained devices.

·      Document system design, workflows, and best practices using tools like Azure Dev Ops and Jira.

Required Qualifications

·      Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

·      Proven experience in developing and deploying machine vision or other sensing modality models using PyTorch, TensorFlow, or similar frameworks.

·      Hands-on experience with edge deployment on platforms such as NVIDIA Jetson, Raspberry Pi, or Intel OpenVINO.

·      Solid understanding of MLOps concepts and experience with Databricks, MLflow, Kubeflow, or Azure Machine Learning.

·      Proficiency in Python and familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes.

·      Experience with version control systems (Git) and continuous integration/continuous deployment (CI/CD) pipelines (GitHub Actions, Azure DevOps).

Preferred Qualifications

·      Experience tuning and deploying small language models (e.g., LLama.cpp, Hugging Face Transformers, ONNX Runtime).

·      Experience with edge hardware platforms (e.g., NVIDIA Jetson, Raspberry Pi, Intel Movidius, or similar).

·      Experience in digital signal processing (DSP) and filter development for sensor data streams.

·      Familiarity with MCP and A2A protocols in AI Agent workflows.

·      Strong analytical and problem-solving skills, with the ability to work independently and in a collaborative team environment.

·      Excellent written and verbal communication skills.