Senior Software Engineer, AI/ML – epocrates
Tasks
- Apply responsible AI practices
- Build scalable ML pipelines
- Deploy and maintain machine learning systems
- Design and deploy AI ML systems in AWS
- Develop end-to-end AI and ML solutions
- Implement AI ML governance and monitoring best practices
- Integrate AI capabilities with product priorities
- Monitor model performance and cost in production
- Orchestrate machine learning workflows with MLOps
- Research and prototype AI and ML techniques
Perks/Benefits
- Collaborative workspaces
- Commuter support
- Employee assistance program
- Employee resource groups
- External speakers
- Hackathons
- Remote work flexibility
- Tuition assistance
- Work-life balance support
Skills/Tech-stack
AWS | Deep learning | Generative AI | Langchain | Langgraph | Language Models | Language Processing | Language Understanding | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Natural Language Understanding | PyTorch | Python | SQL | SageMaker | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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