Data Scientist: Experienced in building custom AI/ML

Role: Data Scientist: Experienced in building custom AI/ML models using AWS

Work Location: Remote (USA)

Duration: Long term contract

 

Max & Final Rate: $65/hr. on C2C

Immediate Interview 

 

Job Description:

·       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, and decisions).

·       Tech Stack (Expected Exposure)

·       Python (primary), plus strong backend engineering (APIs, services)

· AWS: Sage Maker, Bedrock, IAM, VPC, KMS, Cloud Watch, Secrets Manager, S3, ECR/ECS or EKS (as applicable)

·       IaC: Terraform / Cloud Formation / CDK (any one strongly)

·       CI/CD: GitHub Actions / Jenkins / Code Pipeline (any one)

·       Observability: logging, metrics, tracing; model monitoring