Data Engineer, VP
Bengaluru, India
INR 3000K-6000K (estimate) Executive-level Full Time
Tasks
- Automate data engineering pipelines
- Build data pipelines
- Define ML Ops standards
- Deploy machine learning models
- Design ETL workflows
- Develop data models
- Develop scalable data architecture
- Ensure data security and observability
- Evaluate and integrate machine learning capabilities
- Implement CI/CD workflows
- Ingest streaming data
- Integrate APIs
- Source new data
- Track ML experiments
- Transform streaming data
- Tune model performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Anthropic | Automl | CI/CD | Data Modeling | Data Pipelines | Documentation | ETL | Embedding pipelines | Experiment tracking | Feature Engineering | Feature Stores | Fine Tuning | GPU Computing | Issue Tracking | LLM orchestration | MLOps | Machine Learning | Model Deployment | Model Evaluation | Observability | OpenAI | Optimization | Performance Tuning | Prompt engineering | Python | RAG | Retraining | Security | Series forecasting | Streaming Ingestion | Supervised Learning | Time Series | Time Series Forecasting | Unsupervised Learning | Version control
Education
N/A
Roles
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