Data & Machine Learning Engineer
Tasks
- Build and maintain data warehouses
- Build natural language querying features
- Create semantic representations
- Deploy ML and AI systems
- Design scalable data pipelines
- Design vector database solutions
- Develop ETL workflows
- Document data pipelines and ML workflows
- Fine-tune machine learning models
- Generate AI-driven insights
- Implement LLM workflows
- Implement retrieval augmented generation systems
- Orchestrate ML pipelines
- Perform prompt engineering
- Process unstructured data
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Amazon Redshift | Apache Spark | Azure | CI/CD | Feature Store | Fine Tuning | Hadoop | Kafka | LLM orchestration | Language Processing | MLOps | Machine Learning | Model Fine-tuning | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Snowflake | Vector Databases | Version control
Education
N/A
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