Machine Learning Engineer, Chakra
Tasks
- Architect and develop AI interviewer system
- Build data pipelines
- Build interview consistency infrastructure at scale
- Create scoring methodology
- Define quality bar for interviews
- Design conversation management
- Design evaluation and benchmarking pipelines
- Generate hiring manager reports
- Implement RLHF workflows
- Implement fine-tuning workflows
- Implement real time response evaluation
- Instrument system performance against quality metrics
- Measure interview quality and candidate experience
- Serve models with low latency
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Benchmarking | Conversational AI | Data Pipelines | Deep learning | Evaluation | Fine Tuning | Human Feedback | Language Models | Language Processing | Large Language Models | Latency optimization | Learning from Human Feedback | Machine Learning | Model Serving | Natural Language | Natural Language Processing | Preference optimization | Reinforcement Learning | Reinforcement Learning from Human Feedback | Scoring Models
Education
N/A
Regions
Countries
States
Cities
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