Senior ML Engineer II
Atlanta, GA, United States
USD 157K-210K (estimate) Senior-level Full Time
Tasks
- Build machine learning pipelines
- Collaborate with subject matter experts and product managers
- Create feedback loops for model improvement
- Curate training datasets with privacy masking
- Deploy and monitor models on Google Cloud Platform
- Design multi agent orchestration framework
- Develop document parsing and information extraction
- Ensure compliance for healthcare data
- Fine tune language models with domain datasets
- Generate and manage vector embeddings for RAG
- Implement CI CD for machine learning
- Implement knowledge distillation
- Integrate model tools and external APIs
- Set up model versioning and performance monitoring
Perks/Benefits
- 401-K matching
- Education assistance
- Employee resource groups
- Flexible time off
- Free LinkedIn Learning
- Health Savings Account company match
- Mental health programs
- Paid parental leave
- Paid time off
- Pet insurance
Skills/Tech-stack
Agent Orchestration | Agent systems | Airflow | CI/CD | Cloud Functions | Cloud Run | Deep learning | Document Understanding | Entity recognition | Fine Tuning | GCP | GKE | Kafka | Knowledge Distillation | Kubeflow | Language Processing | LoRA | MLOps | MLflow | Machine Learning | Model versioning | Multi-Agent | Multi-Agent Systems | Named Entity Recognition | Natural Language | Natural Language Processing | NoSQL | Optical character recognition | Performance Monitoring | PyTorch | Python | Q LoRA | Reinforcement Learning | Relationship Extraction | Retrieval-Augmented Generation | SQL | Scikit-learn | Spark | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Database | Vector embeddings | Vertex AI
Education
Roles
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