
Principal Data/ML Engineer | AWS, Terraform | LLM/RAG, MLOps
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About this service
Summary
What's included
Production LLM/RAG API (AWS)
A Bedrock/SageMaker endpoint with retrieval orchestration, ready for app integration.
Retrieval Pipeline & Vector Index
Ingestion, chunking, embeddings and an indexed store (e.g., OpenSearch/pgvector).
Terraform Infrastructure (IaC)
Modular Terraform for VPC, IAM, networking, compute, storage and policies.
CI/CD Pipelines (GitHub Actions)
Build, test, security scans and deploy for app/model/IaC with environment promotion.
Data Pipelines (ETL/ELT)
AWS-native ingestion and transformation jobs with schedules and retries.
Evaluation & Testing
Automated quality checks (e.g., RAGAS/ARES), latency/cost tests and regression suite.
Observability & Cost Controls
CloudWatch logs/metrics/dashboards, basic alerts, and AWS Budgets with tagging.
Security Baseline
Least-privilege IAM, encryption in transit/at rest, secrets management and guardrails.
Architecture Pack
High-level diagram, components list, data flow and decision log (ADRs).
Documentation & Handover
README, runbooks, recorded walkthrough and a time-boxed post-delivery bug-fix window.
Skills and tools
Data Analyst
Data Engineer
Data Scraper

BeautifulSoup

Python

R

Scrapy

TensorFlow
Industries
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