Principal Engineer, Storage Data Science and Analytics
Bengaluru, Karnātaka, India
INR 3000K-3900K (estimate) Senior-level Full Time
Tasks
- Automate troubleshooting with AI workflows
- Build AI models to predict capacity and hardware failure
- Conduct design reviews and mentor engineers and data scientists
- Design deploy and scale machine learning and deep learning in production
- Develop predictive prescriptive and generative AI models for storage optimization
- Establish ELT patterns and streaming pipelines
- Extract analyze and operationalize intelligence from telemetry data pipelines
- Integrate LLM workflows RAG and agentic systems into analytics products
- Lead data science and analytics architecture
- Partner with product management and engineering on analytical solutions
- Validate distributed telemetry data for structured insights
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | Algorithms | Anomaly Detection | Apache Spark | C# | C++ | Clustering | Data Structures | Deep learning | Distributed Systems | ELT | Go | Kafka | Language Models | Large Language Models | Machine Learning | Microservices | Multithreading | Prompt engineering | Python | Random Forests | Retrieval-Augmented Generation | Series forecasting | Streaming Data | Time Series | Time Series Forecasting | Vector Databases
Education
Roles
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