Embedded AI Engineer

Job description Role Expectations : - Develop, optimize, and deploy embedded machine learning models. - Ensure performance, memory optimization, and energy efficiency of AI solutions. - Integrate ML algorithms with embedded controllers and edge computing platforms. - Collaborate closely with automation and software engineers to translate AI solutions into production-grade embedded systems. Qualifications : - Degree in Computer Science, Electrical Engineering, or related field. - Strong proficiency in Python, C/C++, and embedded programming. - Experience with embedded ML frameworks (e.g., TensorFlow Lite, ONNX, Edge Impulse). - Understanding of real-time embedded systems and microcontroller architectures. - Minimum of 2 years of relevant experience with Embedded Systems and AI/ML Role: Post Silicon Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Embedded System Embedded C++Embedded CMicrocontrollerArtificial IntelligenceMachine LearningPython