Senior ML Engineer I
Atlanta, GA, United States
USD 156K-208K (estimate) Senior-level Full Time
Tasks
- Build feedback loops for model improvement
- Build machine learning pipelines
- Create vector embeddings for RAG
- Deploy models on Google Cloud Platform
- Design multi-agent orchestration
- Extract structured data from documents
- Implement CI/CD for ML pipelines
- Implement LoRA and QLoRA fine tuning
- Implement PHI PII masking
- Integrate language model tools and APIs
- Monitor model performance
- Select and fine tune language models
- Use knowledge distillation
Perks/Benefits
- 401k match
- Education assistance
- Employee resource groups
- Flexible time off
- Free LinkedIn Learning
- Free mental health programs
- Paid parental leave
- Paid time off
- Pet insurance
Skills/Tech-stack
Agent systems | CI/CD | Cloud Run | Cloud Storage | Document AI | Entity recognition | GKE | Google Cloud | Google Cloud Storage | Hugging Face | Hugging Face Transformers | Knowledge Distillation | Language Processing | LoRA | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Named Entity Recognition | Natural Language | Natural Language Processing | OCR | PyTorch | Python | QLoRA | RAG | Relationship Extraction | Retrieval-Augmented Generation | TensorFlow | Transformers | Vector Database | Vector embeddings | Vertex AI
Education
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