Data & ML Engineer (Public Sector), Professional Services - Japan

Amazon Web Services (AWS) is a leading cloud computing platform that supports various businesses in developing, tuning, and utilizing AI/ML and generative AI models on the AWS cloud.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Cloud Computing

Description For Data & ML Engineer (Public Sector), Professional Services - Japan

Are you excited about leading new business transformations brought about by generative AI and AI/ML? Do you want to help public sector customers develop new business processes and products using AI? Amazon Web Services (AWS) is seeking individuals who can provide long-term support to customers in solving various business challenges using AI expertise.

As a Data & ML Engineer, you will:

  • Support customers from the inception to maturity of AI projects, including presenting optimal AI products, data aggregation, data exploration, model building and validation, deployment, and providing human resource development and organizational transformation programs.
  • Accurately understand customer business challenges and needs, structuring problems and organizing them as business requirements.
  • Extract requirements for AI products necessary to realize business requirements, select candidate AI services, models, algorithms, and related IT technologies.
  • Collaborate with specialist roles in related technical areas to support the selection (or construction) and verification of optimal models, architecture combining necessary AWS services, and roadmap development for achieving customer goals.
  • Implement customer projects in cooperation with related members, such as conducting PoCs for verification, to support the achievement of customer goals.
  • Present optimal technologies, processes, and structures for realizing MLOps/FMOps/LLMOps to continuously develop or use AI models, considering customer characteristics and constraints, and provide support for their realization.

Work environment:

  • No permanent on-site work; visits are based on customer requests or workshop needs.
  • Flexible team structure and work arrangements, including core-less flex time system and remote work options.

Required Qualifications:

  • 3+ years of experience in applying AI/ML technology to enterprise business
  • Practical experience in PoC, design, and development of AI applications for enterprises, or leadership experience in application development projects
  • Practical experience as a machine learning engineer or data scientist, with development experience in projects involving machine learning/deep learning model development or application development incorporating these models

Preferred Qualifications:

  • Work experience with public sector customers (central government agencies, local governments, educational institutions, medical institutions, public interest corporations, etc.)
  • Experience in proposing solutions related to AI/ML and generative AI
  • Experience in addressing various customer challenges and needs and delivering results in diverse environments
  • Experience in developing machine learning models using deep learning frameworks such as MXNet, Caffe 2, Tensorflow, Theano, CNTK, Keras, etc.
  • Proficiency in programming languages such as Python, JavaScript/TypeScript
  • Experience with agile development methodologies like Scrum
  • Skills in analyzing data models, creating validation plans, and accurately determining cause-and-effect relationships
  • Project implementation/program experience using AWS technologies
  • Experience in AI security & privacy management and governance within enterprises

This role offers an opportunity to work with a great team at AWS, constantly pursuing innovation and supporting customers together.

Last updated a month ago

Responsibilities For Data & ML Engineer (Public Sector), Professional Services - Japan

  • Support customers from inception to maturity of AI projects
  • Understand customer business challenges and organize them as business requirements
  • Extract requirements for AI products and select candidate technologies
  • Collaborate with specialists to support model selection, architecture design, and roadmap development
  • Implement customer projects and conduct PoCs
  • Present and support the realization of MLOps/FMOps/LLMOps solutions

Requirements For Data & ML Engineer (Public Sector), Professional Services - Japan

Python
JavaScript
TypeScript
  • 3+ years of experience in applying AI/ML technology to enterprise business
  • Practical experience in PoC, design, and development of AI applications for enterprises
  • Leadership experience in application development projects
  • Practical experience as a machine learning engineer or data scientist
  • Development experience in projects involving machine learning/deep learning model development or application development incorporating these models

Benefits For Data & ML Engineer (Public Sector), Professional Services - Japan

  • Flexible work arrangements
  • Remote work options

Interested in this job?

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