MLOps Engineer 3 month contract - multiple extensions possible We are hiring for an MLOps Engineer to join a high-growth AI startup backed by recent funding, building cutting-edge AI platforms for the Fintech industry. As they expand operations quarter over quarter, they are looking for an experienced MLOps Engineer to help scale their infrastructure and enhance the performance of their AI services. Role Summary: We're seeking an MLOps Engineer with a strong background in AWS, Kubernetes, and data pipeline management to help our client build scalable and extensible ML infrastructure. This is a remote position with a requirement for overlap in EST/PST hours for effective team collaboration. Responsibilities: Design and implement scalable ML services and data pipelines on AWS and Kubernetes Set up and maintain a robust MLOps infrastructure to support data and model pipelines Develop serverless GPU architectures to support high-performance ML workloads Collaborate with engineering and product teams to ensure seamless integration of AI components into production Qualifications: 5+ years of experience in MLOps, DevOps, or related roles Expertise in AWS, Kubernetes, and modern data pipeline frameworks Strong skills in building and maintaining scalable, extensible ML infrastructure Experience with serverless GPU architecture preferred Note: ML modeling experience is not required for this role Contract Details: Type: 3-month rolling contract Location: Remote (must overlap with EST/PST hours for team meetings and collaboration) Why Join Us? : Work with an innovative team on a platform set to transform the Fintech industry, backed by strong financial support and resources. If you're a proactive MLOps engineer ready to take on an exciting challenge with a dynamic team, we'd love to hear from you!