About the Role
AI is core to how Bitara builds intelligent infrastructure across finance and Web3. As an AI/ML Engineer, you'll build and deploy machine-learning models and agentic AI workflows, owning the full lifecycle from data pipelines to production inference and monitoring.
You'll turn frontier research into reliable systems, whether that's risk models, on-chain analytics, or autonomous agents. This role suits engineers who love shipping ML that works in production, not just in notebooks.
Key Responsibilities
- Build, train, and deploy machine-learning models into production
- Design agentic AI workflows and LLM-powered systems
- Develop robust data pipelines for training and inference
- Own model serving, monitoring, evaluation, and continuous improvement
- Collaborate with engineering and product to integrate AI into real products
- Ensure models are reliable, performant, and cost-efficient at scale
Requirements
- 3+ years building and deploying ML systems in production
- Strong Python skills and experience with modern ML frameworks
- Hands-on experience with LLMs, agentic workflows, or applied ML
- Solid understanding of data pipelines, MLOps, and model monitoring
- Ability to translate ambiguous problems into working ML solutions
- Strong software engineering fundamentals
Nice to Have
- Experience with RAG, fine-tuning, or multi-agent systems
- Familiarity with on-chain data, fraud/risk modeling, or fintech ML
- Contributions to open-source ML tooling or research
What We Offer
- Join a global team shipping production AI
- Work on frontier agentic and ML systems with real impact
- High ownership across the full ML lifecycle
- Competitive compensation and growth
- Compute and learning budget for experimentation
联系我们
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无论您是在推出 Web3 平台、构建 AI 系统，还是升级企业与金融基础设施，Bitara 提供可规模扩展、安全可靠、支持长期增长的生产级解决方案——依托卓越工程与具备合规意识的设计。
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准备好共同构建 未来了吗？
无论您是在推出 Web3 平台、构建 AI 系统，还是升级企业与金融基础设施，Bitara 提供可规模扩展、安全可靠、支持长期增长的生产级解决方案。
免费咨询申请
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