Job Description
ワークスタイル
リモートワーク・在宅勤務 服装カジュアル フレックスタイム制
募集要項
Job Responsibilities:
- Leadership & Team Empowerment : Lead, mentor, and manage a diverse, high-performing team of engineers, scientists, and researchers. Foster a culture of collaboration, innovation, and growth within the team.
- Cross-Functional Collaboration : Work closely with product, data science, and engineering teams to drive alignment on the AI product roadmap and ensure successful delivery of business outcomes.
- AI Model Development & Deployment : Oversee the end-to-end development lifecycle of AI models, including data collection, labeling, model development, experimentation, training, testing, and deployment into production environments.
- Best Engineering Practices : Ensure that best practices in coding and engineering are maintained, prioritizing a robust, scalable, and efficient codebase.
- Pipeline & Experiment Management : Develop, maintain, and optimize AI model training pipelines and experiment tracking systems. Ensure the seamless flow of data through the system and timely feedback on model performance.
- Operational Excellence : Manage the deployment, scaling, and maintenance of AI models in production, working to ensure the systems are reliable, scalable, and continuously optimized.
応募必要条件
| 職務経験 | 3年以上 |
| キャリアレベル | 中途経験者レベル |
| 英語レベル | ビジネス会話レベル |
| 日本語レベル | ビジネス会話レベル |
| 最終学歴 | 短大卒： 準学士号 |
| 現在のビザ | 日本での就労許可が必要です |
スキル・資格
Required Qualifications:
- 3+ years of experience in managing teams of engineers, scientists, or researchers, with a strong track record of driving successful AI projects.
- Hands-on experience in designing, implementing, and deploying machine learning models in production environments, with a focus on business applications.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and business leaders.
- Proficiency in modern software engineering practices, including writing clean, maintainable, and well-documented code.
Desired Qualifications:
- Practical knowledge of MLOps principles and technologies (e.g., model versioning, deployment at scale, containerization, continuous integration/delivery).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and container orchestration tools (e.g., Kubernetes, Docker).
- Experience with Python (e.g., FastAPI, PyTorch, and related libraries), and modern database systems (e.g., SQL, NoSQL).
- Experience in building and optimizing large-scale data pipelines and AI model training systems.
- Knowledge of the Japanese language is a plus.
Team Culture & Expectations:
- Collaboration : We emphasize teamwork, and engineers are expected to collaborate effectively across functions, sharing knowledge, and empowering each other.
- Ownership & Accountability : Engineers are encouraged to take ownership of their projects, ensuring successful delivery while being proactive about resolving challenges.
- Innovation & Experimentation : Engineers have the opportunity to experiment with new technologies and ideas, contributing to continuous innovation and improvements in our AI models and products.
- Quality : We maintain a high standard of code quality, always striving for excellence and continuous improvement. Engineers are expected to deliver reliable, high-performance solutions.
- Customer-Focused : We value both internal and external customers. Engineers should prioritize delivering value to end-users while also supporting colleagues and contributing to the broader company mission.
勤務地
労働条件
雇用形態 正社員
給与 経験考慮の上、応相談 ~ 1700万円
業種 ソフトウエア
職種
会社概要
| 会社の種類 | 中小企業 (従業員300名以下) |
| 外国人の割合 | 外国人 半数 |
Job Tags
リモートジョブ,