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 grishma.shukla@acldigital.com
Solution Architect • Vizianagaram, Andhra Pradesh, India