Senior Data Engineer (with AI/ML experience) India
Tasks
- Architect semantic representation workflows
- Build feature stores workflows
- Create analytics dashboard solutions
- Create documentation for data workflows
- Deploy models on managed services
- Design scalable data pipelines
- Develop ETL/ELT pipelines
- Develop vector indexing methodologies
- Execute model fine tuning routines
- Implement natural language query experience
- Implement real-time inference services
- Implement retrieval-augmented generation workflows
- Integrate open source LLM frameworks
- Manage prompt engineering techniques
- Oversee vector data stores
Perks/Benefits
- Career growth
- Company-supported English classes
- Continuous learning
- Hardware provided
- Professional training compensation
- Referral program
- Remote work
- Seminars and conferences compensation
Skills/Tech-stack
AWS | Agile | Apache Spark | Azure Machine Learning | CI/CD | Data Warehousing | ELT | ETL | Fine Tuning | Git | Hadoop | JSON | Kafka | MLOps | Machine Learning | Model Fine-tuning | PLSQL | Prompt engineering | Python | RAG | REST APIs | Redshift | SQL | Snowflake | Unix/Linux | Vector Databases | Vector indexing | Version control
Education
N/A
Roles
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