Senior Machine Learning Engineer I
Tasks
- Build machine learning data pipelines
- Curate and expand training datasets with privacy masking
- Deploy and monitor models on Google Cloud Platform
- Design agent 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 extract document information
- Integrate tools and external APIs
Perks/Benefits
- 401k company match
- Adoption Assistance
- Education assistance
- Employee resource groups
- Fertility support
- Free mental health programs
- LinkedIn Learning access
- Paid parental leave
- Paid time off
- Pet insurance
Skills/Tech-stack
Accuracy Improvement | Airflow | CI/CD | Cloud Functions | Cloud Run | Data Privacy | Document Layout Analysis | Document layout | Entity recognition | Fine Tuning | GKE | Kafka | Knowledge Distillation | Kubeflow | Language Models | Large Language Models | Latency optimization | Layout analysis | LoRA | MLOps | MLflow | Model versioning | NLP | Named Entity Recognition | NoSQL | OCR | PHI PII Masking | PHI/PII | PII masking | Performance Monitoring | PyTorch | Python | QLoRA | Relationship Extraction | Retrieval-Augmented Generation | SQL | Scikit-learn | Spark | TensorFlow | Throughput Optimization | Vector Databases | Vertex AI
Education
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