Lead AI Engineer 首席AI工程師, Taiwan

BJAK 是东南亚最大的保险聚合平台。

我们的团队以目标为导向,充满动力,专注于打造卓越的产品,为用户带来极致体验。我们正在寻找愿意挑战自我、在工作中寻找意义的优秀人才。

我们实行扁平化管理,所有员工都需要亲力亲为并积极做出贡献。具备主动性并持续交付卓越成果的人将获得领导机会。成长没有上限,良好的职业操守和清晰的优先级判断力至关重要。

如果你符合上述特质,欢迎加入我们。

主要職責:

• 與產品經理和利害關係人合作,確定 AI 專案的目標、需求與時程。
• 設計、開發並實施 AI 模型、演算法及應用程式,以解決複雜的商業挑戰。
• AI 模型從頭到尾的生命週期,包括資料收集、前處理、模型訓練、評估與部署。
• 持續掌握 AI 與機器學習的最新進展,並將最佳實務應用於專案中。
• 透過先進的分析與視覺化技術,推動以數據為基礎的決策。
• 確保 AI 解決方案的安全性、可擴展性與效能。
• 研究工作,探索並整合尖端的 AI 技術。

職位要求:

• 擁有電腦科學、人工智慧或相關領域的學士、碩士或博士學位。
• 具備 AI 工程師的經驗,並有成功主導 AI 專案的實績。
• 精通 AI 和機器學習框架及程式語言(如 Python, PyTorch, TensorFlow)。
• 具備資料前處理、特徵工程與模型評估方面的深厚專業能力。
• 具備優秀的問題解決能力與批判性思維能力。
• 具備良好的領導力、溝通能力與團隊管理能力。
• 對於持續掌握 AI 與機器學習領域的最新發展充滿熱情。

福利

• 快速變動、具挑戰性且獨特的業務問題
• 完善的學習與發展計劃,助你職涯成長
• 國際化的工作環境與扁平化的組織架構
• 具市場競爭力的薪資待遇
• 彈性的工作時間與安排,輕鬆休閒的穿著風格

BJAK is Southeast Asia's largest insurance aggregator.

Our team is goal-driven, highly motivated, and focused on product excellence to delight users. We are looking for individuals who want to challenge themselves and do meaningful work in life.

We have a flat organizational structure. All employees are expected to be hands-on and to contribute. Leadership is given to those who show initiative and consistently deliver excellence. There are no limits to growth. Work ethic and strong prioritization skills are important.

If you are the above, join us.

Key Responsibilities:

• Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
• Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
• End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
• Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
• Drive data-driven decision-making through advanced analytics and visualization techniques.
• Ensure the security, scalability, and efficiency of AI solutions.
• Research efforts to explore and integrate cutting-edge AI techniques.

Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Proven experience as an AI engineer, with a track record of leading successful AI projects.
• Proficient in AI and machine learning frameworks and programming languages (e.g., Python, PyTorch, TensorFlow).
• Strong expertise in data preprocessing, feature engineering, and model evaluation.
• Excellent problem-solving and critical thinking skills.
• Effective leadership, communication, and team management abilities.
• A passion for staying up-to-date with the latest developments in AI and machine learning.

Benefits:

• Fast moving, challenging and unique business problems
• Strong learning and development plans for your career growth
• International work environment and flat organization
• Competitive salary
• Flexible working hours & arrangement, Casual work attire