Top AI & Machine Learning Jobs

Develop, implement, test and debug real-time camera-based image processing and computer vision algorithms for ADAS from concept to production. Verify algorithms at component/bench level, follow ASPICE/CMMI processes, support cross-functional teams, and ensure compliance with quality and safety procedures for automotive embedded systems.

Develop and prototype computer-vision and ML features: design experiments, collect/annotate/clean data, build/train/evaluate/optimize models, implement and optimize vision/signal-processing algorithms, and support product development and PoC delivery.

Design and implement AI-enabled automation and testing solutions for HR, Payroll, and Finance using Azure AI and Copilot Studio. Integrate AI into RPA and test frameworks, build data pipelines, connect via REST APIs, apply prompt engineering and model evaluation, and ensure security, observability, and QA across deployments.

Design, implement, and optimize high-performance embedded inference systems for automotive ADAS. Develop and integrate ML runtimes on edge SoCs, ensure low-latency concurrency and I/O, integrate with ROS2/sensor frameworks, deploy to SIL/HIL and CI pipelines, and perform profiling and debugging of perception stacks (camera/radar/LiDAR) under real-time constraints.

Create a training and verification database from historical full-vehicle geometry (external and internal). Collect CAD and mesh data, split into training/verification sets, ensure consistent data quality and organization, document methods, conclusions, and recommendations.

Design, implement, and optimize classical and deep-learning computer vision algorithms for ADAS. Tasks include object detection, segmentation, tracking, image enhancement, dataset analysis, model optimization for real-time embedded ECUs, bench testing, root-cause analysis, documentation, and cross-functional integration for serial automotive production.

Test and validate AI models and software for automotive use cases: generate ground truth, build annotated datasets and testing frameworks, evaluate technologies, support R&D engineers, coordinate projects and outsourced work, and collaborate with internal and external partners to drive innovation and product readiness.

Co-op computer vision engineering intern to perform data analysis, build ML/data pipelines on cloud, develop and test software solutions for industrial CV tasks (defect detection, 3D reconstruction), and present results to supervisors.

Part-time student role supporting development and operational implementation of AI initiatives: coordinating AI projects, organizing internal AI events, maintaining an overview of use cases, creating learning content and communication materials, and completing defined conceptual or technical tasks to enable approved AI tool usage across departments.

Part-time student role supporting design, testing, monitoring, and documentation of RPA and Power Platform automations. Contribute to finance-focused AI use cases (anomaly detection, text/data analysis), build Power BI/Power Apps solutions, and prepare process documentation for stakeholders.