Machine Learning (Custom ML)

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)
 Collaborate effectively with data scientists, software engineers, and other stakeholders to ensure the successful development and deployment of machine learning solutions, particularly focusing on computer vision and LLM applications
 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,