ダイレクト系損害保険会社でのSenior Innovation Lead: MLOPS ENGINEERの求人
求人ID:1225768
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転職求人情報
職種
Senior Innovation Lead: MLOPS 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
〜1,150万円程度 能力・経験を考慮し当社規定により決定します。
仕事内容
●Job Purpose
You will join Innovation lead Section of Data Strategy Department who aims to accelerate the transformation of ADJ into a fully Data-Driven company. You will be involved in the implementation and maintenance of Machine Learning models in AWS architecture (recommendation engines, fraudulent insurance claims, Lifetime value models, etc…).
You will work closely with Data Engineers, Data Scientists and Project Managers to develop impactful data science frameworks in order to improve our customer journey.
You will contribute to advanced data architecture discussions within AXA Japan Data Science Teams and with other AXA entities.
You will work in an international environment.
This position is hands-on at first but has potential to evolve to managerial position in near future.
●Key Accountabilities
【Development/Design and Implementation】
・Build data pipeline: Develop the Data Science models (scoring models, machine learning, AI, etc.) in AWS data lake architecture. Receive approval in Architecture Review Board of AXA Japan.
・Support the implementation and the maintenance in production environment, in collaboration with Data Engineers.
・Build and maintain the CI/CD framework.
【Management of projects and normal operations】
・Collaborate with Data Scientists to drive projects and regular operations.
・Assist the project leader in planning, designing and managing the execution of the project.
・Produce the related documentation.
【Analysis & Proposal】
・Support the analysis of business needs and technical environment. Draft solutions in response to requests from business units.
・Participate to discussions about data architecture best practices
You will join Innovation lead Section of Data Strategy Department who aims to accelerate the transformation of ADJ into a fully Data-Driven company. You will be involved in the implementation and maintenance of Machine Learning models in AWS architecture (recommendation engines, fraudulent insurance claims, Lifetime value models, etc…).
You will work closely with Data Engineers, Data Scientists and Project Managers to develop impactful data science frameworks in order to improve our customer journey.
You will contribute to advanced data architecture discussions within AXA Japan Data Science Teams and with other AXA entities.
You will work in an international environment.
This position is hands-on at first but has potential to evolve to managerial position in near future.
●Key Accountabilities
【Development/Design and Implementation】
・Build data pipeline: Develop the Data Science models (scoring models, machine learning, AI, etc.) in AWS data lake architecture. Receive approval in Architecture Review Board of AXA Japan.
・Support the implementation and the maintenance in production environment, in collaboration with Data Engineers.
・Build and maintain the CI/CD framework.
【Management of projects and normal operations】
・Collaborate with Data Scientists to drive projects and regular operations.
・Assist the project leader in planning, designing and managing the execution of the project.
・Produce the related documentation.
【Analysis & Proposal】
・Support the analysis of business needs and technical environment. Draft solutions in response to requests from business units.
・Participate to discussions about data architecture best practices
必要スキル
●Requirements (1): Technical skills, Job experiences
【Technical Skills and knowledge】
-Expertise in cloud services (AWS (preferred)): implementing a ML model into a cloud environment. (must)
-Knowledge of Data Science and Algorithms to accompany and understand Data Scientists. (must)
-Proficiency with Python, SQL, ML flow and Github (must)
-Knowledge of ETL tools. (optional)
-Knowledge of OSS (Hadoop, etc.). (optional)
-Knowledge in any of the following areas: accounting, marketing, property/casualty services, etc. (optional)
【Experiences】
-3 10 years working experience. Minimum 3 years of relevant work experience (i.e. experience in implementing and maintaining Data Science projects in cloud-based production environment) (must)
-Experience to continuously improve and document applications by using development tools (CI-CD, Github, ...) (must)
- Experience building systems for the financial and insurance industries (optional)
●Requirements (2): Behavioral skills
-Excellent written and verbal communication skills
-Ability to document Use Cases, solutions and recommendations in a clear and concise manner
-Ability to understand the pros and cons of various technologies and platforms and propose solutions
-Ability to work creatively and analytically in a problem-solving environment
-Ability to lead team members with hands-on guidance
-Ability to adapt to a rapidly changing environment
●Requirements (3): Certificate, Education background
At least 3 years of relevant experience
Nice to have: Engineering degree, AWS solution architect associate, AWS developer associate
●Requirements (4): Language skills
-Japanese (Business level and above)
-English (optional but must have willingness to learn)
【Technical Skills and knowledge】
-Expertise in cloud services (AWS (preferred)): implementing a ML model into a cloud environment. (must)
-Knowledge of Data Science and Algorithms to accompany and understand Data Scientists. (must)
-Proficiency with Python, SQL, ML flow and Github (must)
-Knowledge of ETL tools. (optional)
-Knowledge of OSS (Hadoop, etc.). (optional)
-Knowledge in any of the following areas: accounting, marketing, property/casualty services, etc. (optional)
【Experiences】
-3 10 years working experience. Minimum 3 years of relevant work experience (i.e. experience in implementing and maintaining Data Science projects in cloud-based production environment) (must)
-Experience to continuously improve and document applications by using development tools (CI-CD, Github, ...) (must)
- Experience building systems for the financial and insurance industries (optional)
●Requirements (2): Behavioral skills
-Excellent written and verbal communication skills
-Ability to document Use Cases, solutions and recommendations in a clear and concise manner
-Ability to understand the pros and cons of various technologies and platforms and propose solutions
-Ability to work creatively and analytically in a problem-solving environment
-Ability to lead team members with hands-on guidance
-Ability to adapt to a rapidly changing environment
●Requirements (3): Certificate, Education background
At least 3 years of relevant experience
Nice to have: Engineering degree, AWS solution architect associate, AWS developer associate
●Requirements (4): Language skills
-Japanese (Business level and above)
-English (optional but must have willingness to learn)
就業場所
就業形態
正社員
企業名
グローバルに展開するダイレクト系損害保険会社
企業概要
ダイレクト系外資損保。
企業PR
グローバルにおいてダイレクトチャネルでの損害保険業に強みを持つ外資系損害保険会社。
業務カテゴリ
組織カテゴリ
備考
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損害保険の求人情報
転職体験記
- 初めての転職、大手銀行から大手監査法人へ(20代/女性/私立大学卒)
- 外資系大手生命保険会社で再びシステム開発の業務へ(30代/女性/私立大学卒)
- チャレンジできる環境を求めて、インターネットメディアと人材ビジネスを手掛ける企業へ(20代/男性/私立大学院卒)
- 研究開発の経験を活かして、損害保険会社へ(40代/男性/公立大学卒)
- これまでのスキルを活かして、ホワイト企業認定取得の上場ソフトウェアテスト企業へ(40代/男性/専門学校卒)
- 希望を叶え満足の内定、大手運用会社でのシステムエンジニアへ(20代/男性/国立大学院卒)
- ITマネージャーの経験を活かして、外資系総合商社へ(40代/男性/私立大学院卒)
- システム担当としての経験を活かしつつ希望の勤務地へ、独立系投信投資顧問へ(40代/男性/私立大学卒)
- 希望を叶えて、日系大手証券会社へ(30代/男性/私立大学院卒)
- ITコンサルタントとしての経験を活かして、外資系大手試験・認証機関へ(40代/男性/海外大学卒)