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
聯絡我們
準備好共同打造
未來了嗎？
無論您是要推出 Web3 平台、建置 AI 系統，還是升級企業與金融基礎設施，Bitara 提供可規模擴展、安全可靠、支援長期成長的生產級解決方案——依託卓越工程與具備合規意識的設計。
讓我們探討如何助您實現下一個平台的落地。
📍
馬來西亞（總部）
全球交付能力
💌
我們的團隊將盡快回覆您
免費諮詢申請
準備好共同打造 未來了嗎？
無論您是要推出 Web3 平台、建置 AI 系統，還是升級企業與金融基礎設施，Bitara 提供可規模擴展、安全可靠、支援長期成長的生產級解決方案。
免費諮詢申請
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