Senior Machine Learning Engineer
Tasks
- Build production grade generative AI and LLM based capabilities
- Collaborate with cross functional partners to structure technical solutions
- Contribute to architecture decisions for maintainable extensible resilient systems
- Deploy and monitor applications with MLOps practices
- Design scalable production systems with machine learning and generative AI
- Implement end to end technical projects from design to operations
- Integrate ML models into distributed systems
- Maintain code quality testing reliability and clarity
Perks/Benefits
- Annual grants
- Charitable matching gifts
- Flexible work options
- Generous time off
- Health benefits
- Professional development resources
Skills/Tech-stack
API Design | Agent systems | CI/CD | Cloud Native | Cloud-native development | DevOps | Distributed Systems | Document Understanding | Experiment tracking | Generative AI | LLM APIs | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Multi-Agent | Multi-Agent Systems | Native Development | Python | Retrieval systems | Retrieval-Augmented Generation | Semantic Search | System design
Education
N/A
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