Senior MLOps Engineer (AWS & GenAI)

SNI is a trusted IT outsourcing partner that delivers high-impact technology solutions for prestigious global firms. We are currently seeking a Senior MLOps Engineer to join our team and help scale our machine learning and generative AI capabilities in a fully remote environment.

Key responsibilities

• Design and maintain cloud-native ML platforms using AWS services such as SageMaker, Bedrock, ECS/EKS, and Lambda.
• Build, automate, and support end-to-end MLOps pipelines utilizing SageMaker Pipelines, MLflow, and modern CI/CD tools.
• Containerize applications using Docker and Kubernetes to ensure seamless deployments and operational health for production-grade GenAI models.
• Implement cloud security, networking, and operational best practices across distributed engineering and product teams.

Requirements

• Extensive hands-on experience operating ML platforms and supporting GenAI workloads with AWS SageMaker and AWS Bedrock.
• Strong cloud engineering expertise with AWS core services and Infrastructure as Code tools like AWS CDK or Terraform.
• Proficiency in containerization with Docker and Kubernetes, combined with experience building robust CI/CD pipelines.
• Solid software engineering skills in Python and a deep understanding of the end-to-end machine learning lifecycle.
• Strong grasp of cloud security, networking, and governance principles.

What we offer

• Opportunity to work on cutting-edge GenAI projects for prestigious international clients.
• A fully remote working environment that supports professional growth and technical autonomy.
• Collaboration with cross-functional teams in a high-standard engineering culture.