Machine Learning Engineer

About Us Echo Twin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, Echo Twin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.Responsibilities 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.Computer Vision 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.Predictive Analytics·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.Experience 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 Tensor Flow or Py Torch.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.Benefits and Perks There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, Gen AI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!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 PTOProfit sharing Please do not forward resumes to our jobs alias, Echo Twin AI employees, or any other company location. Echo Twin AI is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr