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About the Role
We seek an experienced AI/ML Engineer to design and develop AI/ML and Generative AI solutions, build AI-ready data pipelines, and implement scalable cloud-based platforms, with expertise in Python, LLMs, RAG, and MLOps/LLMOps.
Responsibilities
- Participate in the estimation, planning, and sizing of AI/ML, Agentic AI, and Generative AI workstreams, providing accurate inputs to project managers for project planning and execution.
- Analyze and understand functional and non-functional requirements in collaboration with business analysts, architects, and stakeholders, and translate them into scalable AI and system requirements.
- Design, develop, and implement AI/ML and Generative AI solutions, ensuring alignment with enterprise architecture, security, and governance standards.
- Create and maintain solution design documents, technical specifications, architecture diagrams, and implementation artifacts for AI-driven applications and platforms.
- Build and manage data pipelines and AI-ready data infrastructure, including data ingestion, transformation, feature engineering, vectorization, and data preparation for AI model consumption.
- Develop and review artifacts, including code, mapping, documentation, monitoring scripts, and unit test scripts.
- Conduct reviews of personal and peer deliverables, perform unit tests, and document unit test results for complex data programs to prepare applications for validation and delivery.
- Work with cross-functional teams in a dynamic environment.
Requirements
- A bachelor's degree or foreign equivalent from an accredited institution is required. Three years of progressive experience in the specialty may also be considered in place of each year of education.
- At least 8 years of experience in the IT field.
- Japanese nationality or a valid qualification to work in Japan. Visa sponsorship is not currently available.
- At least 4 years of experience in AI/Generative AI (GenAI), Machine Learning (ML)/Deep Learning (DL), and data visualization.
- Over 4 years of professional experience in AI/ML engineering, data engineering, and the development of cloud-native solutions on AWS, Azure, and GCP.
- Experienced in Generative AI, Agentic AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
- Skilled in developing and deploying AI/ML solutions using Python, machine learning frameworks, APIs, and MLOps/LLMOps methodologies.
- Possesses a solid understanding of data governance, AI governance, security, and the principles of Responsible AI within enterprise environments.
- Demonstrates excellent verbal and written communication skills.
- Experienced in the Software Development Life Cycle (SDLC).
- Capable of collaborating effectively as a team member in environments involving diverse stakeholders.
- Possesses experience working in global delivery environments—or a strong willingness to work in such settings.
Skills
- Python
- LLMs
- RAG
- MLOps/LLMOps
- AI/Generative AI (GenAI)
- Machine Learning (ML)/Deep Learning (DL)
- Data visualization
- AI/ML engineering
- Data engineering
- Cloud-native solutions on AWS, Azure, and GCP
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Vector databases
- AI orchestration frameworks
- Machine learning frameworks
- APIs
- Data governance
- AI governance
- Security
- Responsible AI
- Software Development Life Cycle (SDLC)
Location
- Japan
Work Type
- Full-time
Experience Level
- 8+ years of experience in the IT field
- 4+ years of experience in AI/Generative AI (GenAI), Machine Learning (ML)/Deep Learning (DL), and data visualization
- 4+ years of professional experience in AI/ML engineering, data engineering, and the development of cloud-native solutions on AWS, Azure, and GCP
Education Level
- Bachelor's degree or foreign equivalent