Senior Applied ML Engineer

As a Senior Applied ML Engineer at Cozeva, you will play a crucial role in bridging the gap between research and production, ensuring that Cozeva's AI innovations are successfully deployed, monitored, and scaled within the SaaS platform. Your expertise in machine learning models and enterprise-scale software systems will be instrumental in turning prototypes into high-performing, production-grade AI features that drive value-based care. Key Responsibilities: - Model Integration & Deployment: - Embed various ML/AI models (LLMs, NLP, risk models, forecasting) into Cozeva's software workflows and APIs. - Build and maintain production pipelines for training, evaluation, and deployment on cloud-native infrastructure. - Scalable Systems Engineering: - Design and manage distributed data pipelines for claims, clinical, and EHR data. - Ensure the performance, reliability, and cost efficiency of AI workloads on Aurora MySQL, Redshift, S3, EC2/K8s. - MLOps Practices: - Implement CI/CD for ML, including model versioning, automated retraining, monitoring, and rollback. - Monitor live model performance, drift, and fairness to comply with Cozeva's AI Governance Framework v1.1. - Applied Problem Solving: - Collaborate with AI Scientists to deploy models for NLP abstraction of clinical data, risk stratification, hospitalization/ED prediction, and member engagement. - Collaboration: - Work closely with data engineers, SDEs, and product teams to deliver AI-driven features in Cozeva's SaaS stack. Qualifications Required: - Bachelors or Masters in Computer Science, AI/ML, or related field. - 5-8 years of experience in building and deploying ML models into production. - Strong software engineering skills in Python, SQL, Docker/Kubernetes, and distributed systems. - Experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face, and MLOps tools like MLflow, Kubeflow, SageMaker, or equivalent. - Proficiency in cloud infrastructure, preferably AWS (S3, EC2, RDS/Aurora, Redshift, IAM). - Proven track record of delivering production-ready ML/AI features at scale. Why Join Cozeva By joining Cozeva, you will have the opportunity to: - Make a meaningful impact on health equity and outcomes for millions of patients. - Deploy cutting-edge models directly into a SaaS platform. - Collaborate closely with the CTO, scientists, and engineering leaders. - Work with top-tier AI talent globally in a culture of transparency, collaboration, and impact.,