AI & Embedded System Engineer

As an AI & Embedded Systems Engineer at our company, you will play a crucial role in bridging the gap between data science and embedded systems. Your expertise in Python, AI, and Machine Learning, along with a solid understanding of C/C++ and Linux programming, will contribute to intelligent product development and advanced analytics solutions. Key Responsibilities: - Develop and implement Machine Learning and Deep Learning models for predictive analytics and intelligent automation. - Work on AI-driven embedded applications, optimizing algorithms for edge devices. - Utilize strong programming skills in Python, C, and C++ for data processing, model training, and deployment. - Collaborate with cross-functional teams to integrate AI/ML algorithms into real-time systems and products. - Manage and analyse large datasets, ensuring data integrity, preprocessing, and feature engineering. - Customize Linux environments for data-centric processing and performance tuning. - Apply advanced statistical methods, data visualization, and model evaluation techniques. Technical Expertise: - Programming: Python, C, C++, Linux - Machine Learning: TensorFlow, Porch, scikit-learn, OpenCV - Embedded AI: Edge AI deployment, model optimization, hardware acceleration - Microcontrollers: 8-bit, 16-bit, ARM architectures - Protocols: I2C, SPI, UART, USB, CAN, RS-232 - Other Skills: Data preprocessing, feature engineering, model tuning, version control (Git), Linux scripting Preferred Qualifications: - Bachelors /masters degree in computer science, Electronics, or related fields. - 2-3 years of experience in Data Science, AI/ML development, or Embedded AI systems. - Strong problem-solving ability and understanding of both software algorithms and hardware constraints.,