Senior AI/Machine learning DevOps Engineer, Takeda Japan Innovation Center (TJIC), Global DD&T(Data, Digital & Technology)

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Job Description
Please note this job requires business level Japanese language command not only in speaking, business writing and reading.
The Future Begins Here:
At Takeda, we are leading the digital transformation globally in the biopharmaceutical industry, leveraging technology to transform the way we develop and deliver life-changing treatments for patients. We are looking for talented individuals like you to join our dynamic team!
As we strive to become one of the most trusted, science-driven digital biopharmaceutical companies in the world, data, digital and technology (DD&T) are deeply embedded in all we do.
To accelerate our transformation, we continue our investment in data, digital and technology and further growing our digital capabilities in Japan. Our aim is to embed DD&T across our organization, to create a future-ready organization meeting the evolving needs of patients, our people, and the planet.
武田薬品は、バイオ医薬品業界のデジタルトランスフォーメーションをグローバルに牽引し、テクノロジーを駆使して患者さんの人生を変える治療法の開発・提供方法を変革しています.私たちは、このダイナミックなチームに参加してくれる、あなたのような才能ある人材を求めています！
データに基づき、成果にフォーカスした、最も信頼されるバイオ医薬品企業に変革するようにデータ、デジタル、テクノロジー（DD&T）は私たちのあらゆる活動に深く組み込まれています.
この変革を加速させるため、私たちはDD&Tへの投資を継続し、日本におけるデジタル能力をさらに高めています.私たちの目標は、DD&Tを組織全体に浸透させ、患者さん、社員、そして地球の進化するニーズに応える「未来志向の組織」を創造することです.
THE ORGANIZATION:
This role is in the Takeda Japan Innovation Center (TJIC), as part of the global network of Innovation Capability Centers (ICCs). Our ICCs focus on delivering digital solutions across Takeda and building our internal digital capabilities to ensure we are future-ready.
TJIC collaborates with the global ICCs to supports our Japan based business units and functions with cutting-edge technologies such as AI and big data. As a TJIC member, you will work closely with Japan-based business units and functions while regularly collaborating with colleagues in global ICCs to exchange knowledge and drive innovation.
Being part of TJIC offers a unique opportunity to leverage the latest data, digital and technology practices to solve complex challenges and deliver impactful solutions. You will be empowered to deepen your expertise, enhance your skills and contribute to a mission that makes a meaningful difference in people's lives worldwide.
このロールは、グローバルなイノベーション・ケイパビリティ・センター（ICC）ネットワークの一員である、タケダ・ジャパン・イノベーション・センター（TJIC）に属します.ICCは、武田薬品全体にデジタルソリューションを提供し、将来にわたって対応できる社内のデジタル能力を構築することに注力しています.
TJICは、グローバルICCと連携し、AIやビッグデータなどの最先端技術を活用して、日本を拠点とするビジネス部門や機能部門をサポートしています.TJICのメンバーとして、あなたは日本のビジネス部門や機能部門と密接に連携しながら、グローバルICCの同僚と定期的に協力し、知識を交換し、イノベーションを推進します.
TJICの一員となることは、最新のデータ、デジタル、テクノロジーの実践を活用して、複雑な課題を解決し、影響力のあるソリューションを提供するユニークな機会を提供します.あなたは専門知識を深め、スキルを向上させ、世界中の人々の生活に有意義な変化をもたらすミッションに貢献することができます.
THE OPPORTUNITY:
As an AI/Machine Learning DevOps Engineer, you will take ownership of high-impact AI projects and operations that support business and drive operational excellence. You'll be at the intersection of AI development and operations, leveraging automation, optimizing resources, and delivering robust, cutting-edge AI solutions that support Takeda's global mission. This role not only empowers you to leverage your technical expertise and innovative mindset but also offers a collaborative environment where your contributions drive progress and innovation across the organization.
AI/Machine Learning DevOpsエンジニアとして、当社のAIプラットフォームにおける重要なプロジェクトを成功に導く責任を担います.自動化や最適化を推進し、堅牢で先進的なAIソリューションを提供することで、Takedaのグローバルミッションを支え、オペレーションの卓越性を実現します.あなたの技術的専門知識と革新的なマインドセットを活かすとともに、協働的な環境の中で組織の進歩とイノベーションを牽引する機会が提供されます.
RESPONSIBILITIES:

• Participate in the development and operation of internal applications, delivering reliable solutions that meet the needs of end-users.
• Participate in the development and operation of analytics systems leveraging machine learning to support data-driven decision-making.
• Implement and maintain DevOps practices for data solutions by establishing and managing continuous integration and continuous deployment (CI/CD) pipelines.
• Lead the resolution of issues and incidents assigned to you.
• Work closely with data engineers, IT operations teams, and business stakeholders to streamline enhancements, bug fixes, and system upgrades.
• Create and maintain comprehensive technical documentation, guidelines, and best practices for DevOps processes and AI solutions.
• Monitoring & Performance Optimization: Monitor system performance, automate routine tasks, and utilize analytics to ensure optimal performance and stability.
• Utilize AI tools like GitHub Co-Pilot to enhance your own and the team's efficiency in programming, building, and testing AI solutions.

• 社内アプリケーションの新規開発および運用に参加し、エンドユーザーのニーズに対応した信頼性の高いソリューションを提供します.
• 機械学習を活用した分析システムの開発および運用に参加し、データ駆動型意思決定を支援します.
• CI/CDパイプラインの構築および管理を通じて、データソリューションにおけるDevOpsの実践を実装および維持します.
• 割り当てられた問題やインシデントの解決をリードします.
• データエンジニア、IT運用チーム、及びビジネスステークホルダーと密に連携し、機能の強化、バグ修正、システムアップグレードの円滑な実施を推進します.
• DevOpsプロセスおよびAIソリューション向けに、包括的な技術文書、ガイドライン、ベストプラクティスを作成および維持します.
• 監視およびパフォーマンス最適化:システムのパフォーマンスを監視し、定型作業の自動化と分析の活用により、最適なシステムパフォーマンスと安定性を確保します.
• 最新のAIツール（GitHub Co-Pilot等）を活用し、プログラミング、開発、テストの生産性向上に貢献します.

SKILLS & QUALIFICATIONS :
Essential:

• Bachelor's degree in computer science, statistics, mathematics or related field. (preferred: Masters Degree or PhD)
• Programming and data manipulation languages: 3+ years of experience with Python and SQL
• Knowledge of machine learning and experience in model development
• Japanese language skill: JLPT N2+

Preferred:

• Business level English skill
• Preferred technologies: AWS, Databricks.
• Preferred programming skills: R
• Domain knowledge in the pharmaceutical industry
• Experience integrating the results of machine learning-based models into internal systems and operating those systems
• Experience in system development and operation utilizing natural language processing and generative AI
• Experience in cost optimization of LLM (Large Language Model) applications
• Proficiency for LLM observability
• Experience with ServiceNow, Jira, or other relevant process and productivity tools

【必須条件】
• コンピューターサイエンス、統計学、数学または関連分野の学士号 （尚可: 修士、博士）
• プログラミングおよびデータ操作言語:Python, SQLの３年以上の経験
• 機械学習に関する知識・モデル開発の経験
• 日本語能力:日本語能力試験（JLPT）N2以上
【望ましい条件】
• ビジネスレベルの英語力
• 技術の経験:AWS, Databricks
• プログラミング経験: R
• 製薬業界に関するドメイン知識
• 機械学習を活用したモデルの分析結果を社内システムに統合し、運用した経験
• 自然言語処理や生成AIを活用したシステム開発および運用の経験
• LLM(Large Language Model)アプリケーションのコスト最適化の経験
• LLMの観測性に関する熟練度
• ServiceNow、Jira、またはその他関連ツールの使用経験
WHAT TAKEDA JAPAN CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in Japan, but also globally. No investment we make pays greater dividends than taking good care of our people.
• At Takeda, you take the lead on building and shaping your own career.
• Joining the DD&T in Japan will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

At Takeda We Unite in Diversity
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
Takeda Compensation and Benefits Summary:

• Allowances: Commutation, Housing, Overtime Work etc.
• Salary Increase: Annually, Bonus Payment: Twice a year
• Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30, Production Sites (Osaka/ Yamaguchi) 8:00-16:45, (Narita) 8:30-17:15, Research Site (Kanagawa) 9:00-17:45
• Holidays: Saturdays, Sundays, National Holidays, May Day, Year-End Holidays etc. (approx. 123 days in a year)
• Paid Leaves: Annual Paid Leave, Special Paid Leave, Sick Leave, Family Support Leave, Maternity Leave, Childcare Leave, Family Nursing Leave.
• Flexible Work Styles: Flextime, Telework
• Benefits: Social Insurance, Retirement and Corporate Pension, Employee Stock Ownership Program, etc.

Important Notice concerning working conditions:

• It is possible the job scope may change at the company's discretion.
• It is possible the department and workplace may change at the company's discretion.

Locations
Tokyo, Japan
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time