VISASQ
Machine Learning Engineer (Global Business)
Japan (Hybrid)RemotePosted 4 days ago¥7,000,000 – ¥7,000,000
Full TimeSeniorRemoteJP
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Job Description
VISASQ operates a knowledge platform dedicated to its mission: “We make insightful connections possible.” By leveraging an extensive global network of over 800,000 experts, we connect businesses chall
Key Highlights
- End-to-End Ownership: Work closely with the business side throughout the entire lifecycle, from initial problem-solving and specification design to release and continuous iteration.
- Proactive Innovation: We don’t just hand you tickets; engineers are expected and encouraged to propose their own ideas and shape the product roadmap from the planning stage.
- Global Mobility: Depending on your performance and preferences, there are opportunities to work at our New York development hub to accelerate your global career.
- Collaborating with global English-speaking engineering team in Japan, US and Europe
- Designing, implementing, and validating machine learning models and AI agents across multiple providers (OpenAI, Anthropic, Google) to ensure cost-optimization and system resilience
Qualifications
Required Qualifications
- Business-level English proficiency for cross-border collaboration with US and European teams.
- Production ML & Backend Experience: Deep hands-on experience building production-grade backend services and ML pipelines. Mid-level: 3+ years of experience; comfortable navigating large, multi-module Python codebases independently. Senior-level: 5+ years of experience; able to architect event-driven workflows, optimize system latency, and design hybrid search retrieval.
- Mid-level: 3+ years of experience; comfortable navigating large, multi-module Python codebases independently.
- Senior-level: 5+ years of experience; able to architect event-driven workflows, optimize system latency, and design hybrid search retrieval.
- Core Technical Competency: Experience with LLM orchestration (structured outputs, tool use, multi-step agent workflows). Practical experience with tabular ML pipelines (feature engineering, ranking models/LTR, model validation). Familiarity with modern DevOps/MLOps (Docker, pytest/mocking, CI/CD pipelines).
- Experience with LLM orchestration (structured outputs, tool use, multi-step agent workflows).
- Practical experience with tabular ML pipelines (feature engineering, ranking models/LTR, model validation).
- Familiarity with modern DevOps/MLOps (Docker, pytest/mocking, CI/CD pipelines).
Preferred Qualifications
- Cloud Infrastructure: Experience deploying and scaling services in public cloud environments
- Product Growth: Track record of iteratively scaling products in a fast-paced, cross-functional startup or scale-up environment.
- Language: Business-level or conversational Japanese Proficiency (to seamlessly interface with local product and business teams).
Skills & Technologies
Machine LearningCI/CDPythonDocker
About the Company
VISASQ
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
¥7,000,000 – ¥7,000,000
Location
Japan (Hybrid)
Work Mode
Remote
Posted
4 days ago
Country
JP