Senior Data Scientist, Google Cloud Platform (GCP)
IN - TDC 1 (IN110), India
INR 1800K-2800K (estimate) Senior-level Full Time
Tasks
- Architect scalable data pipelines on Google Cloud
- Build data processing workflows with BigQuery and Dataflow
- Build data warehousing and data lake solutions
- Communicate model results to technical and non-technical audiences
- Conduct hypothesis testing and regression analysis
- Create embeddings and use vector databases
- Design statistical and machine learning models
- Develop and deploy production machine learning models
- Develop retrieval-augmented generation systems
- Engineer prompts for large language models
- Fine-tune transformer-based models
- Implement ML workflows with Cloud Composer
- Integrate enterprise data sources into GenAI systems
- Lead end-to-end data science projects
- Monitor models in production
- Perform causal inference
- Provide technical mentorship and guidance
- Run experimental design and A B testing
- Train and serve models using Vertex AI
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI vector search | Agent Orchestration | B testing | BigQuery | BigQuery ML | Causal Inference | Chain-of-Thought | Chain-of-Thought prompting | Chroma DB | Classification | Cloud Composer | Cloud Storage | Clustering | Dataflow | Embeddings | Experimentation | Faiss | Few-Shot Learning | Few-shot | Fine Tuning | Hypothesis Testing | Language Models | Large Language Models | LoRA | Looker | MLOps | Machine Learning | Model Validation | Pinecone | Prompt engineering | PySpark | Python | QLoRA | RAG | RLHF | Regression Analysis | Retrieval-Augmented Generation | SQL | Series analysis | Tableau | Time Series | Time Series Analysis | Tool augmentation | Transformer Models | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search
Education
Roles
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