AI Engineer – ECE / Embedded & Edge AI

Experience Required 5–10 Years Experience Required Employment Type Full-time Location Onsite (Dwarka Sec 11 Delhi) Job Summary We are seeking a AI Engineer with an Electronics & Communication Engineering (ECE) background who is passionate about Artificial Intelligence, Embedded Systems, and Edge AI products . The role involves working across the entire AI lifecycle —from data collection and labeling to model deployment, MLOps, and product testing on real hardware platforms such as ESP32, Raspberri Pi, and other similar devices. Key Responsibilities: • Design, develop, test, and deploy AI models for various applications including computer vision, natural language processing, and predictive analytics. • Collaborate with cross-functional teams to integrate AI models into Edge AI products and ensure seamless integration with existing systems. • Develop and maintain MLOps pipelines to automate the entire AI lifecycle from data preparation to model deployment. • Work closely with data scientists to develop and refine AI models using various machine learning algorithms and frameworks such as TensorFlow, PyTorch, or Keras. • Conduct thorough testing of AI models on real-world scenarios and edge devices to ensure their performance, accuracy, and reliability. • Stay up-to-date with the latest advancements in AI, Edge AI, and Embedded Systems and apply this knowledge to improve existing products and develop new ones. • Participate in code reviews and contribute to open-source projects to enhance the overall quality of the software. • Work effectively in a fast-paced environment and prioritize tasks to meet project deadlines. • Communicate complex technical concepts to non-technical stakeholders and provide guidance on AI-related topics. Requirements: • Bachelor's or Master's degree in Electronics & Communication Engineering (ECE) or related field with 5–10 years of experience in AI, Embedded Systems, and Edge AI products. • Strong understanding of machine learning algorithms, deep learning frameworks, and their applications. • Experience working with various programming languages such as Python, C++, Java, or MATLAB. • Familiarity with data preprocessing techniques, data visualization tools, and statistical modeling methods. • Knowledge of computer vision, natural language processing, and predictive analytics concepts. • Experience with MLOps pipelines, model deployment, and product testing on real hardware platforms. • Strong analytical and problem-solving skills with the ability to work independently and as part of a team. • Excellent communication and interpersonal skills. Benefits: • Competitive salary package. • Opportunities for professional growth and development in AI, Edge AI, and Embedded Systems. • Collaborative and dynamic work environment. • Flexible working hours and remote work options. • Access to cutting-edge technologies and tools.