Kubernetes Jobs in Tokyo, Tōkyō

Add your latest CV to match with open positions

Senior MLOps Engineer

Tokyo,
remote
Permanent
10.0M - 25.0M JPY / Yearly
The Role<ul><li>Design and maintain scalable ML deployment and inference infrastructure.</li><li>Manage GPU-based workloads for model training and inference.</li><li>Build and optimize production pipelines for ML and LLM applications.</li><li>Improve system reliability, monitoring, and operational efficiency.</li><li>Collaborate with ML researchers and software engineers to productionize models.</li><li>Drive technical improvements and introduce new infrastructure solutio</li></ul> Your Skills <ul><li>5+ years of experience in MLOps or software engineering with substantial ML infrastructure exposure.</li><li>Hands-on experience deploying and operating ML models in production.</li><li>Strong Python, Kubernetes, and cloud infrastructure experience.</li><li>Experience with GPU computing, distributed systems, and infrastructure automation.</li><li>Understanding of system monitoring, reliability, and production operations.</li><li>Strong ownership mindset and ability to work independently.</li><li>Professional English communication skills.</li></ul> Key Highlights of the Role <ul><li>Production experience with LLMs or other generative AI models.</li><li>Experience with high-performance model serving and inference optimization.</li><li>Familiarity with GPU infrastructure, serving frameworks, and cost optimization.</li><li>Experience building ML infrastructure at scale.</li></ul> Location Tokyo Salary10 - 25 million yen Reference Number: 06940-0013536096 By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (<a href="https://www.roberthalf.com/jp/en/privacy">https://www.roberthalf.com/jp/en/privacy</a>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure. <img src="https://counter.adcourier.com/TGluaC5EYW5nLjAzNzc4LjEwODk4QHJoaWpwLmFwbGl0cmFrLmNvbQ.gif">
2026-11-04T02:06:18Z

Data Scientist - ML/AI

Tokyo,
remote
Permanent
9.0M - 14.0M JPY / Yearly
Company ProfileA major Japanese internet services conglomerate is hiring a Senior Data Scientist for its global ad technology division. The division runs the advertising systems behind the group's e-commerce and digital services, with a diverse team spread across Japan, Singapore, India, China, and the UK. The Role<ul><li>The in-house ad serving platform handles tens of thousands of QPS at under 100ms latency and processes tens of billions of log records each month. It is now strengthening the in-house development of its core algorithms to set itself apart in a competitive, AI-driven market.</li><li>You will drive ad delivery optimization end to end, from problem definition and KPI design through modeling, online deployment, evaluation, and continuous improvement.</li><li>Your focus will be on price optimization, CTR/CVR and value prediction, and creative optimization, including feature engineering and offline evaluation and simulation.</li><li>You will design A/B tests and bandit experiments, plan rollouts, and build MLOps pipelines with monitoring, drift detection, and automated rollback.</li><li>You will join a team of about 20 engineers (SRE, backend/frontend, data, SDK, QA) and work closely with product, engineering, and sales/operations stakeholders.</li></ul> Your Skills Mandatory<ul><li>5+ years of hands-on data analysis and machine learning experience with Python and SQL (Pandas, NumPy, scikit-learn)</li><li>Experience processing large-scale data (e.g., Spark, BigQuery) and building reproducible analytics environments</li><li>A strong foundation in statistics, causal inference, and experimental design, including A/B test design and analysis</li><li>Experience developing ML models (GBDT, logistic regression, simple neural networks) with rigorous offline/online evaluation and calibration</li><li>Knowledge of digital advertising (CTR/CVR prediction, bidding, budget pacing), or optimization experience in an adjacent domain</li><li>Production experience with model deployment, pipeline operations, monitoring, and drift detection</li><li>A degree in computer science, statistics, applied mathematics, or a related field, or equivalent practical experience</li><li>Fluent English, or TOEIC 800+ or equivalent</li></ul> Desired<ul><li>Knowledge of ad auctions and mechanism design (first-/second-price auctions, bid shading, reserve price optimization)</li><li>Hands-on experience with price optimization methods such as Bayesian optimization, contextual bandits, or reinforcement learning</li><li>Experience with creative optimization, streaming platforms (Kafka/Flink/Beam), and real-time inference</li><li>MLOps practices (feature stores, CI/CD, Docker/Kubernetes) and GCP experience (BigQuery, Vertex AI, Dataflow)</li><li>Business-level Japanese (JLPT N2 or equivalent)</li></ul> Key Highlights of the Role <ul><li>Build the core algorithms of a large-scale ad platform used across one of Japan's largest internet ecosystems.</li><li>Take ownership of the full ML lifecycle, from hypothesis to production, with real business impact.</li><li>Work hands-on with high-traffic, low-latency systems and big data on a modern GCP stack.</li><li>Collaborate in a multinational team across five countries and work alongside leading external ad platforms.</li></ul> Location Tokyo Salary9 - 14 million yen Reference Number: 06940-0013531637 By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (<a href="https://www.roberthalf.com/jp/en/privacy">https://www.roberthalf.com/jp/en/privacy</a>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.<img src="https://counter.adcourier.com/U21haWwuU2FmaS41MTE5MS4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
2026-10-26T02:19:29Z

2 results for Kubernetes in Tokyo, Tōkyō