Machine Learning Engineer, Chakra
Hybrid in Bangalore, India
R
INR 2000K-4600K (estimate) Mid-level Full Time
Tasks
- Architect agent design
- Build interview consistency systems at scale
- Build model serving infrastructure
- Create scoring methodology
- Define evaluation rubric and metrics
- Design evaluation and benchmarking pipelines
- Develop end-to-end data pipelines
- Develop real time response evaluation
- Generate hiring manager reports
- Implement RLHF workflows
- Implement fine-tuning workflows
- Instrument system quality bar
- Manage multi-turn conversations
- Measure interview quality and candidate experience
- Optimize latency constraints
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Conversational AI | Data Pipelines | Deep learning | Docker | Evaluation | Fine Tuning | Human Feedback | Kubernetes | Language Models | Language Processing | Large Language Models | Latency optimization | Learning from Human Feedback | Machine Learning | Model Serving | Natural Language | Natural Language Processing | Python | RLHF | Real Time | Real-time Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | Scoring Models | Time Systems
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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