勤務地
東京都 23区
雇用形態
正社員
給与
経験考慮の上、応相談
服装カジュアルフレックスタイム制
As part of a global team, you will support organizations by transforming bold ideas into real-world impact. Collaborating with talented colleagues worldwide, you will help clients rethink how they use technology to achieve growth, innovation, and a more sustainable future. From strategy formulation to designing and developing cutting-edge solutions in AI, cloud, and data, you will be part of projects that solve meaningful challenges and create lasting value for businesses, communities, and your own career.
Key Responsibilities :
AI & Model Development
- Design, train, and deploy predictive machine learning models and LLM-powered applications, including Retrieval-Augmented Generation (RAG) systems.
- Leverage Azure Machine Learning and Azure AI Foundry to build scalable and production-ready AI solutions.
Data Integration & Collaboration
- Partner with data engineering teams to ingest and process high-volume datasets (Parquet, CSV, text) from Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Ensure seamless integration between data pipelines and AI workflows.
Application Architecture
- Develop serverless orchestration layers using Azure Functions to connect AI models with downstream applications and APIs.
- Support real-time and batch inference use cases.
Search & Storage Optimization
- Use Azure AI Search to enable low-latency retrieval for AI outputs, embeddings, and metadata.
- Contribute to efficient data and metadata storage strategies.
Operational Excellence & MLOps
- Implement MLOps best practices, including model versioning, monitoring, and lifecycle management.
- Integrate AI workflows into CI/CD pipelines to enable automated testing and deployment.
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
無し
最終学歴
大学卒： 学士号
現在のビザ
日本での就労許可が必要です
Azure AI & Cloud Stack:
- Hands-on experience with Azure Machine Learning, Azure AI Foundry, and Azure OpenAI Service.
Data & Analytics:
- Strong understanding of Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Experience working with Parquet files and large-scale, enterprise data environments.
Programming & Frameworks:
- Proficiency in Python for AI/ML development.
- Working knowledge of Scala and Apache Spark, aligning with enterprise ETL platforms.
Backend & Storage:
- Experience building serverless solutions using Azure Functions.
- Familiarity with Azure Cosmos DB or other NoSQL data stores.
DevOps & Automation:
- Knowledge of CI/CD tooling such as Azure DevOps or GitHub Actions to automate AI and ML workflows.
Preferred Qualifications:
- Experience in the Insurance or Financial Services domain
- Ability to extract actionable insights from complex customer and transactional datasets
- Hands-on experience designing and implementing RAG-based AI systems
- Familiarity with distributed data processing using Azure Databricks
雇用形態正社員給与経験考慮の上、応相談
会社の種類
大手企業 (300名を超える従業員数) 外資系企業
募集について
本求人は転職サイトCareerCross（キャリアクロス）がIndeedへの掲載を行っております。
【求職者の方のお問い合わせについて】
■ 求人内容に関するお問い合わせ
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■ CareerCrossのサービスに関するお問い合わせ
CareerCrossのサービス利用方法等に関するお問い合わせにつきましては、以下までご連絡ください。
電話：03-5217-3900
問い合わせフォーム：https://www.careercross.com/suggestion
【CareerCross求人掲載企業様のお問い合わせについて】
Indeedでは求人の掲載停止や内容変更の手続きができません。
大変お手数ですが、該当のご依頼につきましてはCareerCross（当社）までご連絡いただけますと幸いです。
電話番号：03-5217-3900
メール：[email protected]
