Senior Machine Learning Engineer
Tasks
- Collaborate with cross functional partners to define technical solutions
- Contribute to architecture decisions for maintainable extensible resilient systems
- Deploy and monitor ML powered applications and services
- Design and implement scalable production systems with machine learning and Generative AI components
- Integrate ML models into distributed systems
- Maintain code quality testing clarity and reliability
- Own projects end to end from system design through operations
Perks/Benefits
- Annual grants for charities
- Charitable matching gifts
- Flexible work options
- Generous time away
- Health benefits
- Professional development resources
Skills/Tech-stack
APIs | Agent systems | CI/CD | Cloud Computing | Cloud Native | Cloud-native development | Distributed Systems | Experiment tracking | Generative AI | Huggingface | LLM APIs | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model versioning | Multi-Agent | Multi-Agent Systems | Native Development | PyTorch | Python | Retrieval systems | Semantic Search
Education
N/A
Regions
Countries
States
Cities
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