Machine Learning Engineer

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: ● Design, develop, and deploy machine learning models and algorithms on the edge platforms. ● Perform data analysis and feature engineering to enhance model performance. ● Collaborate with cross-functional teams to integrate ML solutions into existing systems. ● Monitor and maintain deployed models, ensuring optimal performance and reliability. ● Stay current with the latest advancements in machine learning and AI. ● Document processes and best practices for machine learning workflows. ● Troubleshoot and resolve issues related to ML models and data pipelines. Experience & Background Requirement: ● Bachelor's or Master's degree in Engineering or equivalent. ● Minimum of 7+ years of overall experience. ● Minimum of 7 years of machine learning experience. ● Proficiency in programming languages such as Python, C, C++. ● Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis . ● Strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks). ● Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV). ● Knowledge of data preprocessing, feature engineering, and model training/evaluation. ● Experience with data storage and processing technologies (e.g., SQL, JSON, XML). ● Excellent problem-solving and analytical skills. ● Strong communication and collaboration abilities. ● Experience of streaming and GUI development is an advantage. Show more Show less