Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.
Business Intelligence Engineer for Japan Central Ops, analyzing large-scale datasets with data mining, ETL and databases, and communicating results to senior leadership.
Build data pipelines and machine-learning models for commercial real estate, tune inference, and lead AI product PoCs and MVPs with business teams. Hybrid remote work is available in Tokyo.
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Design customer solutions through API and data integration, AI and third-party connections, and alignment with product and development teams. Full remote work is available.
Lead customer projects for major Japanese companies from scope and architecture through data pipelines, implementation, rollout and operations, coordinating departments. Remote work is available.
Operate and improve database reliability across a microservices platform supporting a mobility service. Standardize database operations, improve observability, automate upgrades, support safe schema changes, and build systems for performance testing and backups.
Lead customer-specific software projects for major Japanese companies, covering requirements, architecture, data pipelines, implementation, deployment, and operations. Remote work is available.
Partner Solutions Architect enables consulting and system integrator partners on Databricks, leading technical workshops and advising on data, cloud, and AI platform adoption.
Build and operate TENTIAL data pipelines and marts, manage infrastructure and access, automate delivery and reviews, and provide reliable data for analysts and business teams.
Designs and delivers Tableau analytics platforms for enterprise customers, including cloud migrations, security and data governance, integrations, performance tuning, and technical consulting.
This software engineering role leads AI application development for the AI Platform Business and is located in Minato, Tokyo, Japan.
Builds shared data foundations and internal AI agents, redesigns corporate workflows with automation, and develops LLM product prototypes and MVPs alongside group businesses.
Design the shared data platform for B2B SaaS products, leading lakehouse architecture, data pipelines, governance and reliable platform operations.
An embedded engineer in the AI Enabling team, identifying sales bottlenecks and building LLM-powered workflows and data pipelines to improve productivity across Resichalle.
Designs and delivers custom AI solutions for strategic customers, building production systems, intelligent agents, workflows, data pipelines, integrations, and model deployments.
Research new technologies, build data pipelines, develop Maya and Houdini tools, prototype shaders, and improve procedural asset-production workflows for the Sonic game series.
Build and operate the data platform and execution infrastructure for AI and algorithmic products, using BigQuery, Google Cloud, AWS, Python, Go, and related tools. The role supports large-scale taxi app data, machine-learning workflows, and production reliability.
Define safety metrics for autonomous-driving systems and turn them into data requirements, pipelines, triage workflows, dashboards, and continuously updated safety cases.
Responsible for data analysis and AI/ML development, collaborating with data engineering teams to build data infrastructure and manage data sources.
Design, build, and operate Enigmo’s AI Platform for BUYMA, spanning search, data pipelines, MLOps, model-serving APIs, observability, reliability, and cost-conscious cloud architecture.
Manage pharmaceutical and healthcare data through cleansing, processing, analysis, quality checks, and delivery, while coordinating requirements and stakeholders.
Design and implement AI, LLM, RAG, and data solutions for enterprise management challenges, from customer discovery and PoC through evaluation, operations, and product improvement.