AI Engineer [EAGLYS]

【Basic Information】

Company: Eaglys

Position:AI Engineer

Location: Full remote in Japan

Salary:¥4M - ¥9M (negotiable)

Language: English Only

Contract type: Permanent

Job Description

We are building the future of data security

We work to provide technologies that allow our clients convenient access and use of their data, while at the same time ensuring security and protecting privacy. Conventionally security has been thought to reduce functionality and increase costs – we are shifting the paradigm where security lowers costs and increases functionality and customer satisfaction.

You will be in charge of AI-related contract projects and AI-related in-house product development and maintenance.

• Project-based AI development and maintenance
• Planning, development and maintenance of in-house AI products

Roles and Responsibility

• Formulation of project plan(Examination of purpose, development system, unraveling man-hours and cost calculation, personnel planning, schedule, quality target, development environment (including security))
• Project member management(Assignment, placement, and management of development members from the perspective of efficiency and security)
• Project management and evaluation(Development / operation, progress / cost / quality control conscious of compliance with laws and regulations)
• Contract and management execution with partner companies
• Research on related technologies
• Implementation verification from the original paper

Requirements

Minimum Requirements

• Those who have completed the masters program at the Graduate School of Science or above or have equivalent abilities
• Those who have research achievements at research institutes
• Strong proficiency in Python

Preferred Requirements

• Deep Learning, (LSTM, CNN, etc.)
• Statistical machine learning (Bayesian statistics, linear / non-linear regression model, Markov)
• Natural language processing (morphological analysis, etc.)
• Big Data processing infrastructure design development (Google Cloud Platform ・ Big data processing infrastructure design on AWS)
• Data analysis technology such as data mining and statistical analysis
• Statistical machine learning, AI technology such as deep learning (LSTM, CNN, etc.), natural language processing technology

Tech Stacks

Language

• Python
• C ++
• Java

Other

• Kubernetes
• Docker
• GitLab

Benefits

Conditions / Benefits

Employment system: Full-time

Location: Tokyo, Shibuya City, Sendagaya, 5 Chome−27−3 やまとビル

Annual Salary: 5,000,000 - 9,000,000 JPY * based on experience and skills

Hours: 10：00 ～ 19：00

Flex time system (core time from 11：00 to 15：00)

・Remote work available

・125 days or more of holidays in a year

・Two days off a week

・Summer vacation (available between July and September)

・Year-end and New Year holidays

・Paid leave

・Prenatal and postnatal leave / childcare leave

Probation: 6 months

Benefits:

・Company insurance

・Personnel evaluation once a year

・Transportation expenses paid (1 month fixed fee/up to 50,000 yen)

・Health checkup

・Nursing care leave

Our Culture

At Eaglys we are on a mission to help our customers securely manage and utilize their sensitive data – while focusing on their business. To offer a sustainable data ecosystem and protect the interests of both our clients and their end users.

EAGLYS is focusing on creating a society where knowledge can be shared freely, and data use can be sustainable. We are focusing on technologies that reduce data loss risk through privacy management and the protection of sensitive data – which also reduces profit loss and increases the transparency of AI data utilization.

As a company, and as a team, we strive to stay open and collaborative… we are always working to address our customers’ needs and together to bring the exciting landscapes of the future closer to today.

Interview Process

1. CV Screening
2. 1st Interview
3. Last Interview

Minimum Requirements Those who have completed the master's program at the Graduate School of Science or above or have equivalent abilities Those who have research achievements at research institutes Strong proficiency in Python Preferred Requirements Deep Learning, (LSTM, CNN, etc.) Statistical machine learning (Bayesian statistics, linear / non-linear regression model, Markov) Natural language processing (morphological analysis, etc.) Big Data processing infrastructure design development (Google Cloud Platform ・ Big data processing infrastructure design on AWS) Data analysis technology such as data mining and statistical analysis Statistical machine learning, AI technology such as deep learning (LSTM, CNN, etc.), natural language processing technology Tech Stacks Language Python C ++ Java Other Kubernetes Docker GitLab