Senior Mlops Engineer - Remote

Amaris Consulting is seeking a Senior MLOps Engineer to design and maintain scalable ML infrastructure on AWS, develop and optimize ML pipelines using Databricks, manage containerized workloads with Kubernetes, and improve CI/CD processes. This remote role offers the opportunity to work with a global team on enterprise-scale ML environments.

• Design, implement, and maintain scalable ML infrastructure on AWS
• Develop and optimize ML and data pipelines using Databricks
• Manage and automate containerized ML workloads with Kubernetes
• Build and improve CI/CD processes for ML models and workflows
• Support ML and GenAI platform challenges in a complex, enterprise environment
• Collaborate closely with engineering teams to ensure robust, secure, and efficient MLOps practices
• Contribute to continuous improvement of the ML platform while maintaining flexibility and independence

• Strong experience with AWS, including infrastructure deployment, automation, and security at scale
• Hands-on expertise in Databricks, developing and optimizing data and machine learning pipelines (Model Serving & AI Gateway)
• Solid knowledge of Kubernetes, managing clusters and deploying containerized applications
• Practical experience with MLOps tools such as MLflow, Jenkins (CI/CD), and Apache Airflow for ML workflow orchestration