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About the role
Roles and responsibilities: - Design and develop machine learning pipelines for various tasks, including classification, regression, and natural language processing (NLP) - Implement and experiment with different machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning) - Pre-process and clean large datasets for model training and evaluation - Train, evaluate, and optimize machine learning models using frameworks like TensorFlow, PyTorch, scikit-learn, and LangChain - Integrate machine learning models into production systems and monitor their performance - Design and develop machine learning pipelines for computer vision tasks, including object detection, image classification, and image segmentation - Implement and experiment with different machine learning algorithms and techniques specific to computer vision, such as convolutional neural networks (CNNs) - Communicate complex technical concepts to non-technical audiences - Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models - Utilize database knowledge to efficiently store, retrieve, and manage large datasets used for training and evaluating machine learning models .
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