Principal Data Scientist
Bangalore, Karnataka, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build and test machine learning models
- Build reusable modeling pipeline tools
- Build similarity matching systems
- Containerize applications for deployment
- Coordinate project progress updates
- Design machine learning models
- Design scalable end to end machine learning systems
- Develop APIs with FastAPI
- Develop distributed high throughput low latency architectures
- Develop embedding techniques
- Ensure secure web development practices
- Extract named entities
- Fine-tune large language models
- Implement NLP text preprocessing
- Implement encoder decoder architectures
- Implement few-shot learning
- Implement zero shot learning
- Manage project stakeholder communications
- Review production code quality
Perks/Benefits
- Car lease
- Certification programs
- Continuous learning programs
- Corporate pension plan
- Dental coverage
- Education reimbursement
- Employee assistance program
- Employee stock purchase plan
- Flexible work options
- Global learning access
- Health coverage
- Hybrid work environment
- Long-term incentive plan
- Paid time off
- Retirement benefits
- Stock purchase plan
- Vision coverage
- Yearly health campaigns
Skills/Tech-stack
Containers | Continuous integration | Decoder Architecture | Deep learning | Design Patterns | Distributed Systems | Docker | Embedding Techniques | Encoder Decoder Architecture | Encoder-decoder | End to End | End-to-end machine learning | Entity recognition | FastAPI | Fine Tuning | Functional Programming | High Throughput | High throughput architecture | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Low Latency | Low latency architecture | Machine Learning | NLP | Named Entity Recognition | Object-Oriented | Object-oriented design | Python | Scalable systems | Similarity Matching | Text preprocessing | Uvicorn
Education
N/A
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