AI - ML Ops Engineer

AI/MLOps Engineer Contract-to-Hire | Fully Remote (U.S.) | Quarterly Travel We are seeking an experienced AI/MLOps Engineer to join an innovative healthcare organization focused on leveraging AI and machine learning to improve business outcomes. This is an exciting opportunity to help build scalable machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production. This is a fully remote, contract-to-hire opportunity with occasional quarterly travel. Responsibilities • Design, develop, and deploy AI/ML solutions using Microsoft Azure technologies. • Build and maintain scalable machine learning pipelines and production workflows. • Deploy, monitor, and optimize machine learning models in production environments. • Automate ML model deployment through CI/CD pipelines. • Partner closely with Data Scientists and Data Engineers to operationalize machine learning models. • Develop AI-powered solutions including natural language processing (NLP), recommendation engines, sentiment analysis, image recognition, and chatbot capabilities. • Implement Azure AI Services, Azure Machine Learning, and Azure Cognitive Services. • Utilize containerization technologies such as Docker and Kubernetes. • Monitor model performance and implement updates and retraining as needed. • Ensure machine learning environments meet security and compliance standards. • Continuously improve the scalability, reliability, and performance of AI platforms. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience). • 5+ years of software development or engineering experience. • 3+ years of experience delivering end-to-end machine learning projects, including recent hands-on MLOps experience. • Strong experience with Microsoft Azure cloud services. • Experience with Azure Machine Learning and Azure AI Services. • Strong programming skills in Python (preferred), Java, or Scala. • Experience deploying machine learning models into production environments. • Hands-on experience with Docker and Kubernetes. • Experience implementing CI/CD pipelines for machine learning solutions. Preferred Qualifications • Experience with MLflow or Kubeflow. • Experience with TensorFlow, PyTorch, or scikit-learn. • Background in natural language processing (NLP). • Experience building enterprise AI applications and production-grade ML platforms. • Familiarity with Azure Bot Services and Azure Cognitive Services. What You'll Bring • Passion for building scalable AI and machine learning solutions. • Strong collaboration skills and the ability to work cross-functionally with engineering and data science teams. • Excellent problem-solving abilities and attention to detail. • A desire to help drive AI innovation in a collaborative environment. Location: Fully Remote (U.S.) Travel: Occasional quarterly travel Employment Type: Contract-to-Hire If you're passionate about operationalizing machine learning and building modern AI platforms in Azure, we'd love to hear from you.