Job
Description
We are looking for an experienced Machine Learning Engineer to join our team. The ideal candidate should have a strong background in developing, implementing, and deploying machine learning models on edge platforms. With at least 5 years of overall experience and at least 3 years of machine learning experience, you will significantly contribute to our projects, driving innovation and delivering high-quality solutions. Responsibilities: β Design, develop, and deploy machine learning models and algorithms on the edge platforms. β Perform data analysis and feature engineering to enhance model performance. β Collaborate with cross-functional teams to integrate ML solutions into existing systems. β Monitor and maintain deployed models, ensuring optimal performance and reliability. β Stay current with the latest advancements in machine learning and AI. β Document processes and best practices for machine learning workflows. β Troubleshoot and resolve issues related to ML models and data pipelines. Experience & Background Requirement: β Bachelor's or Master's degree in Engineering or equivalent. β Minimum of 7+ years of overall experience. β Minimum of 7 years of machine learning experience. β Proficiency in programming languages such as Python, C, C++. β Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis . β Strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks). β Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV). β Knowledge of data preprocessing, feature engineering, and model training/evaluation. β Experience with data storage and processing technologies (e.g., SQL, JSON, XML). β Excellent problem-solving and analytical skills. β Strong communication and collaboration abilities. β Experience of streaming and GUI development is an advantage. Show more Show less
