Senior AWS Cloud and Machine Learning Engineer

We have an urgent FTE requirement for a Senior AWS Cloud & ML Engineer in Houston, TX. Please prioritize this requirement and share strong, closely matched profiles with hands-on experience across AWS Cloud, SageMaker, Python, MLOps, and Agentic AI. Ideal Candidate We are specifically looking for someone who can combine AWS Cloud Infrastructure + Python/Boto3 + SageMaker/MLOps + Agentic AI + IaC + CI/CD. Note: Please avoid sending generic AWS profiles. Candidates should have strong hands-on experience with the above technologies and be willing to work onsite in Houston, TX. Position Details Job Title: Senior Cloud & ML Engineering SpecialistLocation: Houston, TX – OnsiteRemote: Not AllowedEmployment Type: FTE What We Are Looking For The ideal candidate should have: Strong hands-on AWS experience with strong L300+ expertiseStrong Python development and automation skillsHands-on AWS SageMaker experience, including training, processing, model hosting, endpoints, pipelines, and hyperparameter tuningStrong Boto3 / AWS SDK experience for programmatic AWS resource deployment and automationHands-on Terraform and CloudFormation experienceStrong AWS troubleshooting across IAM, networking, containers, SDK/CLI, and service integrationsExperience with MLOps / MLflow or similar ML lifecycle toolingHands-on experience with Amazon Bedrock / Bedrock AgentsExperience with AgentCore, MCP integration, session management, LangChain, or similar agentic AI frameworksCI/CD experience with Jenkins and GitHub ActionsExperience with AWS services such as Lambda, Step Functions, ECR, ECS/EKS, and CodePipeline Required Certifications AWS Certified Solutions Architect – Associate (SAA)AWS Certified Generative AI Developer