Senior ML Engineer II
Louisville, KY, United States
USD 157K-212K (estimate) Senior-level Full Time
Tasks
- Build machine learning pipelines
- Deploy and monitor models on Google Cloud
- Design agentic orchestrator for multi agent systems
- Develop vector embeddings for RAG
- Establish feedback loops for model improvement
- Fine-tune language models
- Implement MLOps CI CD and model versioning
- Ingest parse and extract structured document data
- Integrate model tools and external APIs
- Mask PHI PII and ensure data privacy compliance
Perks/Benefits
- 401k company match
- Adoption Assistance
- Education assistance
- Employee resource groups
- Fertility support
- Flexible work time
- LinkedIn Learning access
- Mental health programs
- Paid parental leave
- Paid time off
- Pet insurance
Skills/Tech-stack
Airflow | CI/CD | Cloud Functions | Cloud Run | Data Pipelines | Deep learning | Entity recognition | GKE | Kafka | Knowledge Distillation | Kubeflow | Language Processing | Latency optimization | LoRA | MLOps | MLflow | Machine Learning | Model versioning | Named Entity Recognition | Natural Language | Natural Language Processing | NoSQL | OCR | PyTorch | Python | QLoRA | Reinforcement Learning | Relationship Extraction | Retrieval-Augmented Generation | SQL | Scikit-learn | Spark | Supervised Learning | TensorFlow | Throughput Monitoring | Unsupervised Learning | Vector embeddings | Vertex AI
Education
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