Senior AI/ML Engineer, epocrates
Tasks
- Build production AI/ML systems
- Deploy and monitor model performance
- Document technical decisions and model behavior
- Establish AI ML development deployment monitoring governance best practices
- Implement ML pipelines
- Integrate AI capabilities into products
- Maintain testing observability release readiness
- Optimize accuracy latency cost
- Research and prototype AI ML algorithms
- Support responsible AI fairness transparency privacy
Perks/Benefits
- Collaborative workspaces
- Commuter support
- Employee assistance program
- Employee resource groups
- External speakers
- Flexible work schedule
- Hackathons
- Tuition assistance
Skills/Tech-stack
AWS | AWS SageMaker | Agent-based | Agent-based patterns | BERT | Data Modeling | Deep learning | GPT | Generative AI | JVM | Langchain | Langgraph | Language Models | Language Processing | Language Understanding | Large Language Models | ML Pipeline | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Natural Language Understanding | PyTorch | Python | SQL | Software Engineering | TensorFlow
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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