mlops engineer - life insurance firm (contract).

● Proven experience in deploying and managing machine learning models in production
environments.

Technical Skills:
● Proficiency in programming languages such as Python.
● Strong knowledge of machine learning frameworks and libraries.
● Experience with cloud platforms and services, ideally with Azure ML, but others such as
AWS SageMaker, Google AI Platform, or Databricks etc are also acceptable.
● Hands-on experience with MLOps tools and practices, including CI/CD pipelines,
containerization (Docker), and orchestration (Kubernetes).
● Proficiency in SQL and working with large datasets.
● Familiarity with version control systems (e.g., Git) and collaborative development
workflows.

Soft Skills:
● Strong problem-solving skills and attention to detail.
● Excellent communication and teamwork abilities.
● Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:
● Experience with automated machine learning (AutoML) tools and techniques.
● Knowledge of data engineering principles and experience with ETL pipelines.
● Familiarity with advanced analytics and business intelligence tools.

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800 ～ 1,000万円

賞与
-
雇用期間
期間の定めなし