Senior Applied Research Engineer - AI/ML

Required Skills & Experience

• PhD with 10+ years of relevant experience OR Masters degree with 813 years of relevant experience in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or related field
• 3+ years of experience developing and deploying AI/ML solutions in production environments
• Strong experience with Computer Vision including object detection, image classification, segmentation, tracking, and scene understanding
• Expertise in Python and deep learning frameworks such as PyTorch, TensorFlow, or OpenCV
• Experience developing models for anomaly detection, predictive maintenance, defect detection, or quality inspection systems
• Experience working with robotics platforms, autonomous systems, industrial automation, or edge devices
• Knowledge of sensor fusion techniques utilizing cameras, LiDAR, radar, IMUs, or other sensor modalities
• Experience training, evaluating, and optimizing deep learning models for real-world performance
• Strong understanding of machine learning fundamentals, neural networks, and computer vision architectures
• Experience deploying AI solutions to edge, embedded, or cloud environments

Nice to Have Skills & Experience

• Experience with ROS/ROS2 and robotic software development
• Experience with generative AI, vision-language models (VLMs), or multimodal AI systems
• Knowledge of MLOps tools including MLflow, Docker, Kubernetes, and CI/CD pipelines
• Experience with NVIDIA Jetson, CUDA, TensorRT, or GPU optimization
• Background in industrial inspection, manufacturing automation, warehouse robotics, or autonomous vehicles
• Experience with time-series anomaly detection and predictive analytics
• Familiarity with reinforcement learning, motion planning, or robotic controls
• Publications, patents, or open-source contributions in AI, robotics, or computer vision

Job Description

Insight Global is seeking an AI/ML Engineer for an innovative technology client focused on intelligent automation and next-generation robotics solutions. This individual will be responsible for developing advanced computer vision, anomaly detection, and robotic perception capabilities that enable autonomous decision-making in real-world environments. The ideal candidate will combine deep machine learning expertise with hands-on experience in vision systems, sensor data processing, and robotics integration to build scalable AI solutions that improve operational efficiency, reliability, and automation across complex systems.

Day-to-Day:

• Design, develop, and deploy machine learning models focused on computer vision and intelligent automation
• Build anomaly detection solutions for identifying defects, equipment failures, and operational abnormalities
• Develop perception algorithms for robotic systems utilizing cameras, LiDAR, and sensor data
• Train and optimize deep learning models for object detection, tracking, classification, and segmentation
• Collaborate with robotics, software, and hardware engineering teams to integrate AI capabilities into deployed systems
• Validate model accuracy, robustness, and performance in real-world production environments
• Improve existing AI pipelines through model optimization, experimentation, and performance tuning
• Implement data collection, labeling, and model monitoring processes
• Support deployment of models on edge devices and cloud-based infrastructure
• Research emerging technologies in AI, robotics, computer vision, and intelligent automation