SME EdgeAI for Connected Products

Capgemini

14 yrs Bengaluru Remote
Capgemini logo
Posted : today
Actively hiring

Job description

Join Capgemini Engineering, a global leader in engineering services, where you'll collaborate with a diverse team of experts to empower innovative companies. We specialize in digital and software technology, driving R&D and engineering solutions across numerous industries, from autonomous vehicles to advanced robotics. This is an opportunity for a career filled with possibilities, allowing you to make a significant impact in a dynamic environment where no two days are alike.

Responsibilities

As an Edge AI Solution Architect, you will spearhead the design, development, and deployment of AI/ML solutions tailored for embedded and edge computing platforms. Your responsibilities will include architecting scalable Edge AI solutions that effectively utilize hardware accelerators, optimizing for performance, power efficiency, and deployment scalability. You will work closely with customers, product teams, and engineering organizations to define end-to-end AI deployment strategies for embedded and edge environments. This involves architecting AI/ML solutions on leading platforms such as NVIDIA Jetson, NXP i.MX, and Qualcomm, and collaborating with cross-functional teams to transition AI models from development to production.

Qualifications

We are seeking an experienced professional with a minimum of 14 years in Embedded Systems, AI/ML Engineering, or Product Engineering. Proven expertise in AI and Edge AI model development, optimization, and deployment is essential. A strong background with embedded AI platforms like NVIDIA Jetson, NXP i.MX, Qualcomm AI platforms, or similar is required. You should possess a deep understanding of machine learning, deep learning, computer vision, and edge inference technologies. Hands-on experience optimizing AI models for resource-constrained embedded devices and microcontroller-based systems is crucial. Familiarity with model compression, quantization, pruning, and acceleration techniques, along with experience utilizing hardware accelerators such as GPU, NPU, DSP, TPU, and dedicated AI processing engines, is expected.

Essential Skills

Embedded SystemsAI/ML EngineeringProduct EngineeringEdge AINVIDIA JetsonNXP i.MXQualcomm AI platformsMachine LearningDeep LearningComputer VisionEdge InferenceModel CompressionQuantizationPruningAcceleration TechniquesGPUNPUDSPTPUAI Accelerators

Highlights

  • Actively hiring

More Details

RoleSME EdgeAI for Connected Products
Employment TypeRemote

About the Company

Capgemini logo

Capgemini

IT Consulting

SME EdgeAI for Connected Products at Capgemini | SkillMX | SkillMX