Data & Machine Learning Engineer
Tasks
- Build and maintain data processing workflows
- Build retrieval-augmented generation pipelines
- Collaborate with stakeholders on data requirements
- Design scalable data pipelines
- Develop ML and LLM based data solutions
- Document data pipeline and deployment processes
- Fine tune models for inference
- Ingest transform and store data for analytics and AI
- Integrate LLMs into training and inference pipelines
- Manage vector databases and indexing
- Optimize semantic search and retrieval workflows
- Orchestrate ML workflows
- Support batch and real-time processing
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Amazon Redshift | Apache Kafka | Apache Spark | Azure | Data Ingestion | Distributed Systems | ETL | Feature Store | Fine Tuning | Git | Hadoop | JSON | Language Models | Large Language Models | MLOps | Machine Learning | Model Fine-tuning | Orchestration | PL/SQL | Prompt engineering | Python | Real Time | Real-time Processing | Retrieval-Augmented Generation | SQL | Snowflake | Time processing | Vector Databases
Education
N/A
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