Job Summary
A company is looking for a Machine Learning Engineer with a strong foundation in traditional ML and hands-on experience with modern LLM systems.
Key Responsibilities
- Build and deploy a multi-stage classification system optimized for high throughput and low latency
- Integrate continuous feedback loops from human review to refine model performance
- Collaborate with researchers and SMEs to generate training data and test against edge cases
Required Qualifications
- 3-8 years of experience building and deploying machine learning systems in production
- Strong foundation in traditional ML techniques (e.g., clustering, anomaly detection, supervised learning)
- Hands-on experience with LLMs (e.g., OpenAI, Claude, LLaMA), including fine-tuning and prompt engineering
- Proficiency in Python and modern ML / NLP tooling
- Experience deploying models in cloud environments (e.g., AWS, GCP)
Comments