Data Scientist
INR 2000K-3300K (estimate) Senior-level Full Time
Tasks
- Build RAG systems for GenAI applications
- Create data pipelines for ETL and ELT
- Design and deploy containerized services using Kubernetes
- Develop and deploy microservice based AI solutions
- Develop and expose APIs for model access
- Implement MLOps pipelines with model versioning and monitoring
- Lead end to end GenAI and ML model development
- Manage cloud security data governance and compliance
- Mentor junior scientists and conduct code reviews
- Uphold SDLC practices for development testing deployment and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | CI/CD | Cloud Run | Cloud Storage | Cloud platform | Cost Optimization | Data Governance | Data Lineage | Data Privacy | Dataflow | Docker | ELT | ETL | Experiment tracking | Feature Store | GenAI | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | GraphQL | IAM | Kubernetes | Kubernetes Engine | Logging | MLOps | Machine Learning | Metrics | Model Registry | Model versioning | Monitoring | Observability | Performance Tuning | Pub/Sub | PyTorch | Python | RAG | REST API | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Tracing | Vertex AI
Education
N/A
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