Data Scientist: Experienced in building custom AI/ML models using AWS.
Remote in US
Client: SWBC
Financial services / regulated environments experience (risk, compliance, auditability).
Experience designing and enforcing agent guardrails: tool permissioning, policy engines, prompt injection resistance patterns, red teaming.
Experience with knowledge retrieval patterns (RAG), vector databases, and secure document pipelines (within private AWS).
Strong communication and executive-level updates (clear status, risks, decisions).
Tech Stack (Expected Exposure)
Python (primary), plus strong backend engineering (APIs, services)
AWS: SageMaker, Bedrock, IAM, VPC, KMS, CloudWatch, Secrets Manager, S3, ECR/ECS or EKS (as applicable)
IaC: Terraform / CloudFormation / CDK (any one strongly)
CI/CD: GitHub Actions / Jenkins / CodePipeline (any one)
Observability: logging, metrics, tracing; model monitoring
Contact Information
Email: mmanish@codehutit.com
Click the email address to contact the job poster directly.