AI/ML Engineer with AWS
Sweety YadavUnited StatesMIDPosted 12d ago
AWSAWS SageMakerAWS BedrockAWS EC2AWS ECS/EKSAWS S3AWS LambdaAWS Step FunctionsMLOpsML pipelinesmodel deploymentmonitoringdrift detectionPythonDockerKubernetesCI/CD pipelinesTerraformCloudFormationAWS securityIAMencryptioninfrastructure managementSageMaker PipelinesFeature StoreModel RegistryMLflowGenerative AI
About the Role
We are looking for an AI/ML Engineer with AWS expertise to join our team. This role focuses on developing and deploying machine learning solutions on the AWS cloud platform.
Key Responsibilities
• Design and implement AI/ML solutions using AWS services
• Develop and maintain ML pipelines and models
• Deploy, monitor, and manage ML models on AWS
• Implement MLOps practices for continuous integration and deployment
• Ensure security and compliance of ML infrastructure
Requirements
• 4+ years of experience in AI/ML and AWS cloud engineering
• Strong hands-on experience with AWS SageMaker, Bedrock, EC2, ECS/EKS, S3, Lambda, and Step Functions
• Experience with MLOps, ML pipelines, model deployment, monitoring, and drift detection
• Strong Python, Docker, and Kubernetes skills
• Experience with CI/CD pipelines and Terraform/CloudFormation
• Knowledge of AWS security, IAM, encryption, and infrastructure management
Preferred
• Experience with SageMaker Pipelines, Feature Store, Model Registry, MLflow, and Generative AI