Senior Machine Learning Engineer - AI-Assisted Data Annotation
Bangalore, India (Hybrid)
R
INR 2400K-3500K (estimate) Senior-level Full Time
Tasks
- Build and optimize large scale inference pipelines for millions of documents
- Build label verification confidence scoring and quality validation systems
- Collaborate on model serving APIs and infrastructure scaling
- Create evaluation frameworks benchmarking automated vs human labels
- Define integration points with platform infrastructure and model serving systems
- Design AI powered annotation pipelines
- Design batching caching and fallback mechanisms
- Design human-in-the-loop workflows
- Develop prompting strategies few shot examples and tuning approaches
- Drive model selection pipeline design and validation strategies
- Evaluate tasks for automated annotation vs human review
- Generate ground truth labels at scale
- Implement monitoring and alerting for quality degradation and failures
- Improve annotation quality using human review feedback
- Maintain documentation for annotation strategies metrics and limitations
- Own automated annotation track end to end
Perks/Benefits
- Accidental insurance
- Flexible hours
- Hybrid work
- Life insurance
- Medical insurance
- Paid parental leave
- Paid time off
- Paid volunteering days
- Remote work
- Wellness sessions
Skills/Tech-stack
Confidence scoring | Few-Shot Learning | Few-shot | Fine Tuning | Human-in-the-loop | Instruction Tuning | LLM Evaluation | Language Models | Large Language Models | Large-scale | Large-scale inference | Machine Learning | Model Serving | Prompt engineering | PyTorch | Python | Quality validation | The Loop | Vision Language Models | Vision-language
Education
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