ML Engineering Lead at Saris AI tackling multi - modal AI systems in banking. Drive technical direction and build high - performing teams in an early - stage startup environment.
About the role
- MLOps Engineer transforming language models into real-world applications for global AI systems. Collaborating in a hybrid role to build impactful solutions with flexible remote work.
Responsibilities
- オープンソースモデルを効率的に運用・管理し、コストと信頼性を最適化する
- GPU、CPU、メモリリソース全体で高いパフォーマンスと安定性を確保する
- モデル推論を監視・トラブルシューティングし、低レイテンシーと高スループットを維持する
- エンジニアと協力し、スケーラブルで信頼性の高いモデルサービングソリューションを実装する
Requirements
- vLLM や HuggingFace TGI などのモデルサービングプラットフォームの使用経験
- Kubernetes、Ray、Modal、RunPod、LambdaLabs などを用いた GPU オーケストレーションの経験
- レイテンシーやコストを監視し、トラフィック需要に応じて効率的にシステムをスケールできる能力
- バックエンドエンジニア向けの推論エンドポイントの構築経験
Benefits
- フラットな組織構造と本当のオーナーシップ
- プロダクト方向性や意思決定への全面的な関与
- 柔軟な勤務形態
- プロダクト・データ・エンジニアリングを横断する高インパクトな役割
- 市場最高水準の給与と成果に基づくボーナス
- グローバルなプロダクト開発への参画機会
- 充実した福利厚生 —— 住宅補助、高品質な社員食堂、残業食事補助
- 健康・歯科・眼科保険
- グローバル旅行保険（本人および扶養家族対象）
- 無制限で柔軟な有給休暇制度
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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