This job posting has expired

Expired on April 1, 2026

Principal Machine Learning Engineer

LLMAWSPythonPyTorchSageMakerBedrockMLOpsRAGVector DatabasesKubernetes

Job Description

We’re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development—from prototype to production—on AWS. You’ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly’s platform, partnering closely with product, data, and engineering teams.

Responsibilities

  • Design and implement RAG pipelines, prompt orchestration, tools/agents, and evaluation harnesses
  • Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning, A/B testing, deployment
  • Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock
  • Scale training & inference using distributed training (FSDP/DeepSpeed), quantization, caching
  • Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines)
  • Perform Exploratory Data Analysis (EDA) on various datasets
  • Mentor and lead technical designs

Qualifications

  • 8–10 years total software/ML engineering experience
  • 5+ years building and operating ML systems in production
  • 1+ years hands‑on LLM application development (RAG, fine‑tuning, prompt engineering)
  • Bachelor’s in CS/EE/Math or related field (Master’s preferred)

Job Information

Posted

January 31, 2026

Experience Level

senior level

Status

Expired