Senior AI/ML Engineer

To transform healthcare delivery and operations, the remote Senior AI/ML Engineer will design and deploy enterprise-scale AI solutions, build scalable ML models, and optimize data pipelines while collaborating with cross-functional teams. Key responsibilities: Design, develop, and deploy AI-powered solutions to address complex business challenges with a focus on responsible AI use Build, optimize, and maintain robust data pipelines and ML architectures for training, evaluation, and real-time inference Collaborate with data scientists, software engineers, and product managers to translate healthcare business requirements into technical AI/ML architecture Required qualifications: 8+ years of overall software engineering experience 3+ years of experience in designing, building, and deploying AI/ML models into enterprise production environments 3+ years of programming experience in Python and utilizing modern cloud platforms (e.g., AWS, Azure, or GCP) for machine learning development 3+ years of experience with AI engineering tools and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) 2+ years of experience with containerization, orchestration, and MLOps tools (e.g., Docker, Kubernetes, MLflow)