Senior Data/ML Engineer
Tasks
- Architect and implement analytics and BI solutions
- Collaborate with BI data science and business stakeholders
- Design build maintain scalable data pipelines
- Develop prompt engineering strategies and model fine tuning
- Develop structured and unstructured data processing workflows
- Document data workflows pipelines and model deployment processes
- Implement Retrieval-Augmented Generation architectures
- Integrate LLM frameworks into production workflows
- Manage and optimize vector databases and indexing strategies
- Stay current with data engineering MLOps and LLM advancements
Perks/Benefits
- Autonomy and ownership
- Continuous learning
- Flexible work setup
- Fully remote work
- International English speaking environment
Skills/Tech-stack
AWS | Agile | Amazon Redshift | Apache Spark | Azure | CI/CD | Fine Tuning | Git | Hadoop | Kafka | LLM Fine-tuning | LLM Inference | Language Processing | Model Deployment | Natural Language | Natural Language Processing | Orchestration | PLSQL | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Snowflake | Vector Databases
Education
N/A
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