Senior MLOps Engineer (AWS & GenAI)

SNI is a trusted IT Outsourcing partner that carries out successful projects worldwide for prestigious firms.

• Hands-on experience operating ML platforms and supporting GenAI workloads using AWS SageMaker, AWS Bedrock, and MLflow (or similar).
• Strong cloud engineering expertise with AWS services (including S3, Lambda, EC2, IAM, VPC) and Infrastructure as Code via AWS CDK, Terraform, or CloudFormation.
• Proficiency in containerizing applications with Docker and Kubernetes (EKS/ECS), and building CI/CD pipelines using GitHub Actions or Jenkins.
• Strong software engineering skills in Python with a firm grasp of the end-to-end Machine Learning lifecycle.
• Deep understanding of cloud security, networking, cloud governance, and cross-functional team collaboration.

• Design and maintain cloud-native ML platforms using AWS services (SageMaker, Bedrock, ECS/EKS, Lambda) and Infrastructure as Code (AWS CDK, Terraform, CloudFormation).
• Build, automate, and support end-to-end MLOps pipelines using SageMaker Pipelines, MLflow, and CI/CD tools.
• Containerize applications with Docker/Kubernetes and manage seamless deployments and operational health for GenAI and ML models.
• Apply cloud security, networking (VPC/IAM), and operational best practices across distributed engineering, platform, and product teams.

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