非公開求人
AI Engineer/欧州最大のコンサルティングファームの求人
求人ID:1504909
更新日:2026/04/24
転職求人情報
職種
AI Engineer
ポジション
担当者〜
おすすめ年齢
20代
30代
40代
50代以上
年収イメージ
応相談(経験・能力を考慮の上当社規定により決定)
仕事内容
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 deploym
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 deploym
必要スキル
●Technical Requirements
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
Prior experience in the Insurance or Financial Services domain.
Proven 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.
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
Prior experience in the Insurance or Financial Services domain.
Proven 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.
就業場所
就業形態
正社員
企業名
欧州最大のコンサルティングファーム
企業概要
世界40カ国以上でおよそ18万人の従業員を擁しコンサルティング、テクノロジー、およびアウトソーシングを提供する世界有数のコンサルティングファーム(1967年設立)の日本法人として2012年に設立され、最高レベルの技術と豊富な専門知識を兼ね備えた幅広い統合サービスを提供いたします。日本のチームは、現在以下の業種で一連の主要なサービスを中心に、お客様の業績と競争力を強化する改革を支援しています。
企業PR
当社はグローバルでは18万人という巨大なリソース・ケイパビリティを持ってはいるものの、日本においては再進出したばかりという欧州系(仏)コンサルファームです。
海外で巨大な組織を持つコンサル企業が日本に進出すると言うことはここ10年の間で、弊社以外一度も無いくらい稀れであり、アントレプレナーシップを持つ方には魅力的な機会です。
海外で巨大な組織を持つコンサル企業が日本に進出すると言うことはここ10年の間で、弊社以外一度も無いくらい稀れであり、アントレプレナーシップを持つ方には魅力的な機会です。
業務カテゴリ
組織カテゴリ
備考
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