Principal Engineer, Storage Data Science and Analytics
Bengaluru, Karnātaka, India
INR 3200K-4590K (estimate) Senior-level Full Time
Tasks
- Build streaming pipelines with low latency
- Conduct design reviews
- Define analytical roadmaps
- Design deploy and scale machine learning and deep learning systems
- Develop predictive prescriptive and generative AI models for storage optimization
- Extract analyze and operationalize intelligence from telemetry pipelines
- Implement ELT patterns and big data storage views
- Implement agentic workflows for troubleshooting automation
- Integrate LLM workflows with retrieval augmented generation
- Lead data architecture strategy
- Mentor engineers and data scientists
- Predict capacity and hardware failure
- Translate business challenges into production analytical solutions
- Validate distributed telemetry data
Perks/Benefits
Skills/Tech-stack
AIOps | Anomaly Detection | Apache Spark | C# | C++ | Cloud Architecture | Clustering | Deep learning | DevOps | Distributed Systems | ELT | Generative AI | Go | Kafka | LLM | Machine Learning | Microservices | Multi-threading | Predictive Analytics | Python | Random Forests | Retrieval-Augmented Generation | Series forecasting | Storage Deduplication | Streaming Pipelines | Time Series | Time Series Forecasting | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Engineer | Principal | Principal Engineer | Scientist
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