Senior Data/ML Engineer
Tasks
- Build analytics and BI solutions
- Build feature stores workflows
- Collaborate with data stakeholders on requirements
- Create natural language analytics dashboards
- Deploy managed LLM solutions on cloud
- Design scalable data pipelines
- Develop real-time inference services
- Document data pipelines and model deployment routines
- Implement retrieval-augmented generation workflows
- Implement vector retrieval workflows
- Index vector data for RAG
- Integrate LLM frameworks for model training and inference
- Manage prompt engineering techniques
- Optimize semantic search and retrieval
- Orchestrate model fine tuning routines
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Apache Spark | Azure Machine Learning | CI/CD | Hadoop | Hugging Face | Hugging Face Transformers | Kafka | Langchain | Linux | Llama | Llamaindex | Machine Learning | PLSQL | Prompt engineering | Python | RAG | Redshift | SQL | Snowflake | Unix | Vector Databases | Version control
Education
N/A
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