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aws python llms distributed training fine-tuning๐ Description
- Design and build generative AI apps for financial/legal workflows using state-of-the-art models.
- Drive end-to-end model development lifecycle with reproducible research and deployment.
- Collaborate cross-functionally to share ideas and mentor teammates.
- Translate complex problems into scoped bets in a startup-style environment.
- Learn and apply ground-breaking research; iterate with a fail-fast mentality.
- Lead AI adoption across 9fin.
๐ฏ Requirements
- Open-Weight LLMs: experience with Llama, Qwen, Mistral, Gemma in production.
- Fine-tuning & post-training: supervised fine-tuning, instruction tuning, domain adaptation.
- Training data & synthetic data: build datasets, generate synthetic data, data flywheels.
- Model evaluation: design benchmarks, evaluation frameworks, regression testing.
- Financial domain modelling: AI for credit, debt instruments, filings, court docs.
- Production ML engineering: pipelines, deployment, monitoring in production.
๐ Benefits
- Equity
- Pension with 4% contributions and 9fin matching up to 7%
- Private Medical Insurance
- Paid sick leave with Income Protection
- Hybrid working model
- Work abroad up to 3 months a year
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