Machine Learning Engineer II

About the role

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.

What you'll do

• Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency
• (Guided by current LLM engineer role practices.)
• Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring
• (Duties aligned to modern AWS ML roles.)
• Scale training & inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency

What you need

• 5–7 years in data science & ai
• Machine learning
• Python
• LLMs
• AWS
• MLOps
• ETL
• B.Tech or B.E.

Good to have

• Prompt engineering
• NLP
• PyTorch
• Spark
• CI/CD
• DynamoDB

What you get