Senior Machine Learning Engineer , AI Platform
Tasks
- Add AI observability instrumentation
- Build and operate language model scaffolding
- Build evaluation harnesses
- Build offline online evaluation frameworks
- Collect and curate multi source data
- Define problem and dataset design
- Deploy and iterate AI models
- Design production AI systems
- Develop experimentation tooling
- Implement feedback loops from user interactions
- Implement prompt design and model alignment
- Lead end to end AI system initiatives
- Manage model lifecycle and deployment
- Mentor engineers and data scientists
- Operationalize fine-tuning workflows
- Operationalize model evaluation workflows
- Reshape data into training datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Batch Processing | Data Analysis | Data Pipelines | Data Privacy | Dataset Construction | Direct Preference Optimization | Experiment design | Feature Engineering | Fine Tuning | Human Feedback | Inference Optimization | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | Observability | Preference optimization | Prompt engineering | Reinforcement Learning | Reinforcement Learning from Human Feedback | Streaming Data | Supervised Fine Tuning
Education
N/A
Regions
Countries
States
Cities
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