Principal Machine Learning Engineer - Model Efficiency Optimization
Bangalore, India (Hybrid)
R
INR 2475K-3500K (estimate) Senior-level Full Time
Tasks
- Adopt emerging model optimization and compression techniques
- Collaborate on distributed training infrastructure and experiment tracking
- Communicate technical trade offs and recommendations
- Define approaches for efficient production ready models
- Develop novel optimization approaches for document understanding tasks
- Develop training objectives and compression techniques
- Diagnose quality degradation and generalization gaps
- Ensure optimized models meet quality and performance standards
- Establish quality versus efficiency evaluation frameworks
- Lead optimization pipeline design and implementation
- Own model efficiency and optimization technical direction
- Partner with data teams for optimized model training requirements
- Prototype and validate techniques before production scaling
- Run large scale experiments and analyze training dynamics
Perks/Benefits
- Accidental insurance
- Flexible hours
- Health insurance
- Hybrid work
- Life insurance
- Paid parental leave
- Paid time off
- Paid volunteering days off
- Remote work
- Wellness sessions
Skills/Tech-stack
Benchmarking | Deep learning | Distributed Training | Efficient Deep Learning | Experiment tracking | Inference Optimization | Language Models | Latency optimization | Machine Learning | Model Compression | Model Optimization | Multimodal Learning | Pruning | PyTorch | Python | Quantization | Regression Analysis | Training Objectives | Vision Language Models | Vision-language
Education
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