Data Scientist/ML Engineer

Title: Data Scientist /ML EngineerLocation: Hybrid in Mesa, AZ 2-3 days a weekDuration: 6 monthsLocation: RemoteInterview Process: MS TeamsCitizenship: No limitation but no sponsorRole OverviewWe are looking for a skilled Data Scientist specializing in Computer Vision (CV) and Deep Learning to join our team. You will be responsible for the entire machine learning lifecycle : from data collection and training state-of-the-art models to deploying scalable solutions in a production environment. The ideal candidate doesn't just "build models" but builds integrated systems that solve real-world problems.Key Responsibilities1. Data Strategy & EngineeringImplement advanced data augmentation and preprocessing techniques to handle noise and variability in visual data.Manage and curate large-scale datasets, ensuring high-quality labeling and versioning.2. Model Research & DevelopmentDevelop, train, and optimize deep learning architectures (e.g., YOLO, Transformers, CNNs) for tasks such as object detection, segmentation, and re-identification .Fine-tune models using techniques like transfer learning, pruning, and quantization to meet specific accuracy and latency requirements.3. Deployment & MLOpsDeploy models into production environments using, and orchestration tools familiar with GitHub or Azure DevOps.Optimize large inference performance for target hardware (CPU).Build automated CI/CD pipelines for ML to handle retraining and seamless model updates.4. Performance MonitoringEstablish monitoring frameworks to track model drift and performance in the wild.Troubleshoot production issues related to data pipelines or model degradation.Required Skills & QualificationsFrameworks: Mastery of PyTorchLanguages: Expert-level Python (C++ is a strong plus for high-performance inference).Computer Vision: Deep understanding of OpenCV and state-of-the-art architectures (Vision Transformers, EfficientNet, etc.).Database/Backend: Proficiency in SQL, NoSQL, and building APIs (FastAPI/Flask) to serve models.