[契約社員] ai engineer @ 外資系大手生命保険会社.

engineering.
● 3+ experience working with GenAI / Large Language Models (LLMs) such as OpenAI
and Copilot, and integration via API.
● Proven hands-on ownership of production ML pipelines
● Experience with feature engineering on large, structured datasets
● Strong hands-on experience with cloud technologies, preferably Azure, including
services for data engineering, ML training, deployment, storage, and secure production
operations
● Business Impact First: Strong focus on solving real-world problems and measuring ML
success using business KPIs, not just offline metrics.
● AI/ML Fundamentals: General understanding of statistics and AI principles to support
practical engineering (not deep research-level).
Technical Requirements
● Programming: Proficiency in Python (for AI/ML)
● Azure AI Stack: Hands-on experience with Azure Machine Learning, Azure AI
Foundry, and Azure OpenAI Service.
● Data Proficiency: Strong understanding of Azure Data Lake Storage
(ADLS) and Synapse Analytics. Experience working with Parquet files and largescale datasets.
● Backend & NoSQL: Experience developing with Azure Functions and managing data in
CosmosDB.
● DevOps: Knowledge of CI/CD tools (Azure DevOps/GitHub Actions) for
automating AI model lifecycles.

Preferred Skills
● Experience in the Insurance or Financial Services sector.
● Ability to derive actionable insights from complex customer datasets to drive business
growth.
● Background in building Retrieval-Augmented Generation (RAG) systems.
● Familiarity with distributed data processing on Spark

保険
健康保険　厚生年金保険　雇用保険

休日休暇
土曜日　日曜日　祝日

給与
年収750 ～ 1,200万円

賞与
-
雇用期間
期間の定めなし