Staff, Data Science & Applied AI
INR 3200K-5000K (estimate) Senior-level Full Time
Tasks
- Automate workflows to improve analytical velocity
- Build and deploy generative AI solutions with large language models
- Collaborate with governance teams for responsible AI compliance
- Design CI CD pipelines for model lifecycle management
- Design develop deploy predictive and machine learning models
- Develop prompt engineering evaluation and guardrails
- Develop reusable ML and GenAI frameworks and accelerators
- Fine tune or adapt foundation models with parameter efficient techniques
- Implement RAG pipelines for knowledge retrieval
- Implement evaluation pipelines for hallucination bias latency and quality
- Productionize ML and GenAI solutions in cloud environments
- Set up monitoring for model drift prompt drift and data integrity
Perks/Benefits
- N/A
Skills/Tech-stack
Adapters | Automation | Bias Assessment | CI/CD | Cloud Computing | Deep learning | Drift Detection | Efficient Fine Tuning | Embeddings | Ensemble Methods | Few-Shot Learning | Few-shot | Fine Tuning | Gradient boosting | Hallucination detection | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Predictive Analytics | Prompt engineering | Python | Recommendation Systems | Retrieval-Augmented Generation | Semantic Search | Series forecasting | Statistical modeling | Time Series | Time Series Forecasting | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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