Machine Learning Engineer at EIS Ltd

Department: 171 EBS Product Consulting

Location: Remote, Japan

Compensation: ¥10,000,000 - ¥15,000,000 / year

Description

EIS recently launched a new product suite focused in first notice of loss and fraud detection. We are looking for a Senior Machine Learning Engineer to join a new team developing and launching cutting-edge ML models solving some of the most challenging problems in the personal and commercial insurance industry. This role will work closely with the Data Science and engineering team to deploy and monitor the systems that let our models power business decisions in real time. If you are excited by the opportunity to explore diverse data sources and collaborate with technical and non-technical team members and stakeholders, we'd love to hear from you!

Key Responsibilities

• Design data models, and data pipelines and implement scalable ETL / ELT processes.
• Own the deployment of machine learning models into production and monitoring them.
• Develop backend software for inhouse Data Science platforms and SaaS Products.
• Work with a small and focused team of experienced data scientists who are passionate about learning and using new technologies
• Engage in self-driven investigation into new and upcoming technologies/techniques for data management and retrieval.
  
  

Skills, Knowledge & Expertise

• 3+ years professional experience.
• Experience with tool sets available in the Cloud (AWS / Azure / GCP etc) used for data storage and data ingestion.
• Expertise in solutioning and implementing data pipelines.
• Experience in Kafka or Spark for deploying real time Machine Learning models and solutions.
• Strong software development fundamentals in Python for building and shipping production data pipelines.
• Experience with workflow management platform (e.g. Airflow).
• Experience with storage and processing of sensor data (for example GPS time series) from external systems.
• Familiarity with data serialization formats such as avro, parquet, protobuf, etc.
• Must be able to communicate in both Japanese and English at a business proficiency level.
  
  

Nice to have:

• Experience implementing enterprise container platforms like Docker and Kubernetes.
• Experience with developing Machine Learning Models.
• Prior experience within the fintech, insurtech, or autonomous vehicle space
• Experience with unstructured databases (HBase/Cassandra).
  
  

If you got to this point, we hope you're feeling excited about the role. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We are eager to meet people that believe in EIS's mission and can contribute to our team in a variety of ways – not just candidates who check all the boxes.