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.