Machine Learning Manager

Summary

Join Bjak, a leading insurance portal in Southeast Asia, as an AI Engineer and lead a team of AI engineers in developing and implementing innovative AI solutions. You will collaborate with product managers and stakeholders to define project objectives and timelines, design and implement AI models and algorithms, and oversee the entire AI model lifecycle. This role requires a strong background in AI and machine learning, proven experience in leading successful AI projects, and expertise in data preprocessing, feature engineering, and model evaluation. You will also be responsible for staying updated with the latest advancements in AI and machine learning, driving data-driven decision-making, and ensuring the security, scalability, and efficiency of AI solutions. Bjak offers a fully remote work environment, innovative challenges, career growth opportunities, a global work environment, and a competitive salary package.

Requirements

• Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field
• ���算机科学、人工智能或相关领域的学士、硕士或博士学位。
• Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects
• ���有AI工程师或数据科学家的经验，并有领导成功AI项目的记录。
• Proficiency in AI and machine learning frameworks and programming languages (e.g., Python)
• ���通AI和机器学习框架及编程语言（如Python）。
• Strong expertise in data preprocessing, feature engineering, and model evaluation
• ���数据预处理、特征工程和模型评估方面有很强的专业知识。
• Excellent problem-solving and critical-thinking skills
• ���秀的问题解决和批判性思维能力。
• Effective leadership, communication, and team management abilities
• ���效的领导、沟通和团队管理能力。
• A passion for staying at the forefront of AI and machine learning advancements
• ���衷于保持在AI和机器学习进展的前沿。

Responsibilities

• Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth
• ���导和指导一支AI工程师团队，提供技术指导、培训，并促进其成长。
• Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines
• ���产品经理和利益相关者合作，确定AI项目目标、需求和时间表。
• Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges
• ���计、开发和实施AI模型、算法和应用程序，以解决复杂的业务挑战。
• Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment
• ���督AI模型的端到端生命周期，包括数据收集、预处理、模型训练、评估和部署。
• Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects
• ���解AI和机器学习的最新进展，并将最佳实践融入项目中。
• Drive data-driven decision-making through advanced analytics and visualization techniques
• ���过先进的分析和可视化技术推动数据驱动的决策。
• Ensure the security, scalability, and efficiency of AI solutions
• ���保AI解决方案的安全性、可扩展性和效率。
• Lead research efforts to explore and integrate cutting-edge AI techniques
• ���导研究工作，探索和整合前沿的AI技术。

Benefits

• Fully Remote Role: Work from anywhere and enjoy the freedom of a fully remote position
• ���全远程角色： 可以在任何地方工作，享受完全远程工作的自由
• Innovative Challenges: Work on fast-moving, challenging, and unique business problems
• ���理快速变化、具有挑战性和独特的业务问题。
• Career Growth: Benefit from strong learning and development plans for your career growth
• ���受强大的学习和发展计划，促进职业成长。
• Global Environment: Thrive in an international work environment with a flat organizational structure
• ���国际化的工作环境中茁壮成长，组织结构扁平化。
• Competitive Salary: Receive a competitive salary package
• ���得有竞争力的薪资待遇