Applied Scientist 3
BENGALURU, KARNATAKA, India
INR 3584K-5876K (estimate) Mid-level Full Time
Tasks
- Build evaluation frameworks for data quality and model performance
- Build scalable data and machine learning pipelines
- Conduct research prototyping experimentation productionization testing and CI CD operations
- Design and build synthetic data generation methods
- Develop and evaluate synthetic data pipelines
- Develop production code for batch and real time ML workflows
- Monitor models and run production support with runbooks
- Partner with teams to define GenAI data requirements and quality bars
- Research and implement Generative AI techniques
- Translate research papers into practical systems
Perks/Benefits
Skills/Tech-stack
Ablation Studies | Active Learning | Benchmarking | CI/CD | Cloud Storage | Data Augmentation | Data Curation | Data Deduplication | Data Quality | Data Quality Measurement | Data Transformation | Data Validation | Data cleaning | Deep learning | Distributed Computing | Embedding Generation | Error Analysis | Experiment design | Generative AI | Machine Learning | Metadata Extraction | Model Based Labeling | Model Evaluation | Model Inference | Model Training | Monitoring | PyTorch | Python | Quality Measurement | Statistical Analysis | Synthetic data | Weak Supervision | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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