MLOps Engineer

Pierce Technology Corp is seeking a MLOps Engineer to join their team in a remote capacity. This role sits at the crucial intersection of Machine Learning, DevOps, and Systems Reliability Engineering. The position involves designing and implementing scalable machine learning infrastructure to support modern AI applications. Key responsibilities include building robust data pipelines, managing AI agent systems, implementing CI/CD workflows, and ensuring system reliability through comprehensive monitoring and observability frameworks. The ideal candidate will have strong experience in MLOps/DevOps practices, expertise with infrastructure as code, and solid understanding of data engineering and ML model deployment. This role offers an opportunity to work with cutting-edge AI technologies while building the infrastructure that powers next-generation AI applications. The position requires a unique blend of software engineering skills, DevOps expertise, and machine learning knowledge, making it an exciting opportunity for someone passionate about the operational aspects of AI systems.