We are looking for a Computer Vision - AI Engineer to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments.<br><br>Responsibilities:<br>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.<br>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.<br>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.<br>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.<br>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.<br>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.<br>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.<br>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making.<br><br>Responsibilities:<br>• Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments.<br>• Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability.<br>• Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases.<br>• Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations.<br>• Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights.<br>• Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes.<br>• Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.