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.
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.
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.
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.
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 automate scalable pipelines for events and transcripts data, improve governance and quality, and deliver reliable financial data products with cross-functional teams.
Lead customer-specific software projects for major Japanese companies, covering requirements, architecture, data pipelines, implementation, deployment, and operations. Remote work is available.
Develop cloud services and AI-agent capabilities on the Serendie platform, building B2B applications, APIs, data integrations, and cloud architectures with AWS or Azure.
Build and optimize data models, automated pipelines, workflows, and quality frameworks for renewable-energy databases using Python, SQL, analytics, and machine learning.
Drive AI and data-focused digital transformation for environmental plants by analyzing plant operations data, developing control algorithms, and implementing systems from proof of concept through operational use.
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.
Designs and delivers Tableau analytics platforms for enterprise customers, including cloud migrations, security and data governance, integrations, performance tuning, and technical consulting.
Leads a team of about 10 engineers delivering customer-facing data engineering and AI solutions, from discovery and architecture through deployment, debugging, and enablement.
Research new technologies, build data pipelines, develop Maya and Houdini tools, prototype shaders, and improve procedural asset-production workflows for the Sonic game series.
As a Data Engineer, you will identify and solve customer challenges from pre-sales to delivery, contributing directly to the evolution of the Tailor Platform.
Build and operate scalable data pipelines that process daily gameplay data from users worldwide. Improve the data platform and develop internal tools supporting analysis of consumer game titles.
Design, build, and operate data analysis infrastructure across multiple businesses, focusing on data pipeline construction and productivity improvement.
Design data platforms, models, governance, and knowledge graphs for AI-based financial advice, including architecture, data flows, and continuous learning; remote work is possible weekly.
Designs and delivers custom AI solutions for strategic customers, building production systems, intelligent agents, workflows, data pipelines, integrations, and model deployments.
Provide best practices for building and operating analytics, search, and streaming workloads as a Specialist Solutions Architect.
PayPal is hiring a Senior Data Engineer for a role based in Tokyo. The posting identifies the position as a senior-level data engineering opportunity.