Machine Learning Engineer

<h3>📋 Description</h3> •Collaborate with cross-functional teams, including the product manager, software developers, and domain experts. •Research and experiment with state-of-the-art tools and techniques in Machine Learning. •Document processes, pipelines, and model performance thoroughly. •Train and deploy machine learning models for object detection and classification in images and videos. •Preprocess and annotate image and video datasets for training purposes. •Optimize deep learning models for efficiency and scalability in production. •Design and implement predictive models to analyze trends, patterns, and anomalies. •Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets. •Apply statistical and machine learning techniques to forecast outcomes and support decision-making. <h3>🎯 Requirements</h3> •Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field. •5+ years of experience as a Computer Vision Engineer. •10+ years in software development and machine learning. •Strong knowledge of machine learning concepts and algorithms. •Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch. •Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. •Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO). •Familiarity with predictive analytics tools. •Knowledge of cloud platforms (AWS) for deploying and managing machine learning models. •Experience with MLOps practices. •Proficiency in spoken and written English. <h3>🏖️ Benefits</h3> •Options for medical, dental, and vision coverage for employees and dependents (for US employees) •Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA) •401(k) with 3% company matching •Unlimited PTO •Profit sharing