Solutions Architect

2 days ago

Nagpur, India VOLANSYS (An ACL Digital Company) Full time

We are hiring Below are job details: Job Title / Designation :Project Manager to Associate Director based on experience & expertise Business Unit :Embedded Engineering Services (EES) Industry Experience :10+ years Job Location :Preferably Pune Shift :General Shift (Mon-Fri) Job Function, Roles & Responsibilities: - Lead strategic initiatives and own the practice for Edge AI/ML, data pipelines, and intelligent embedded systems - Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms - Oversee data creation - including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation - Champion use cases involving sensor fusion, combining data from multiple sources (vision, IMU, radar, audio, etc.) to create robust, efficient, and context-aware edge intelligence solutions - Drive edge analytics and on-device learning across verticals such as Industrial Automation, Medical Devices, Automotive, and Smart Consumer Electronics - Collaborate with global customers to gather requirements, architect solutions, track project delivery, and ensure alignment with business objectives - Support business development with presales solutioning, proposal writing, and effort estimation - Drive internal capability building through mentoring, training, and competency development Area of Expertise: - Proven expertise in deploying ML/DL models on edge devices (NVIDIA Jetson, NXP i.MX, Qualcomm QCS, TI Sitara, etc.) - Strong knowledge of data workflows: dataset generation, manual/automated annotation, data cleaning, augmentation, and synthetic data creation - Deep understanding of sensor fusion techniques combining inputs from vision, audio, IMU, radar, LIDAR, and other sources to improve model accuracy and efficiency - Experience in model optimization using TensorRT, ONNX, OpenVINO, TFLite, and TVM - Hands-on with TensorFlow, PyTorch, scikit-learn, and signal/image processing techniques - Proficient in designing for real-time inference on resource-constrained platforms - Exposure to AI accelerators, NPUs, DSPs, and hybrid SoC environments; must have exposure to NVIDIA SoC & Tools - Presales, account engagement, and solutioning experience with North American or European clients Nice to Have: - Cloud-edge integration using AWS Greengrass, Azure IoT Edge, GCP Edge TPU - Understanding of AI regulatory/safety standards (ISO, IEC, FDA compliance for AI/ML in regulated industries) Educational Criteria: BE/ME/B.Tech/M.Tech - Electronics, Computer Science, AI/ML, Embedded Systems, or Data Science Travel: Flexibility to travel globally with sales or delivery teams for customer meetings, workshops, and project deployments as needed. Interested candidates kindly share your updated resume to

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