Senior MLOps Engineer (AWS & GenAI)

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities:

Design and maintain cloud-native ML platforms using AWS services (SageMaker, Bedrock, ECS/EKS, Lambda) and Infrastructure as Code (AWS CDK, Terraform, Cloud

Formation).

Build, automate, and support end-to-end MLOps pipelines using SageMaker Pipelines, MLflow, and CI/CD tools.

Containerize applications (Docker/Kubernetes), ensure seamless deployments, and manage operational health for GenAI and ML models in production.

Apply cloud security, networking (VPC/IAM), and operational best practices across distributed engineering, platform, and product teams.

Skills:

MLOps & AI Platforms: Hands-on experience operating ML platforms and supporting GenAI workloads using AWS SageMaker, AWS Bedrock, and MLflow (or similar tools).

AWS & Infrastructure as Code: Strong cloud engineering expertise with AWS (S3, Lambda, EC2, IAM, VPC) and IaC via AWS CDK, Terraform, or Cloud

Formation.

Containers & CI/CD: Proficiency in containerizing applications with Docker/Kubernetes (EKS/ECS) and building CI/CD pipelines using GitHub Actions or Jenkins.

Software Engineering: Solid coding skills in Python and a firm grasp of the end-to-end Machine Learning lifecycle.

Cloud Security & Collaboration: Deep understanding of networking, cloud governance, and cross-functional team collaboration.

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