Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
Develop and evaluate machine-learning algorithms, use behavioral and customer data to propose value, build prototype applications, collaborate with business teams, and publish research.
Build and deploy AI and software solutions using LLM-based systems and cloud AI platforms, validate quality and performance, and deliver projects end to end. Travel up to 25%.
Design, build, and maintain production-grade ML systems with a focus on Large Language Models (LLMs).
Leads technical collaborations and research on hybrid quantum-classical applications for AI, high-performance computing, simulations, and digital twins.
Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
Lead the development and improvement of AI functions, focusing on extracting and structuring information from PDF documents.
Investigates speech and audio AI/ML methods, developing algorithms and analyzing data for speech-based large language modeling, diarization, and speech synthesis.
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.
Lead AI transformation projects from vision and requirements definition through PoC, implementation, operations, and adoption. Manage multiple client engagements, teams, quality, profitability, staffing, risks, and stakeholder alignment.
Lead AI strategy and business-model transformation for major enterprises, align C-suite stakeholders, design AI CoEs, and guide strategy through implementation with executive leadership.
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.
Lead AI solution business development for enterprise clients, from identifying business needs and designing practical services to proposals, UX planning, and project delivery with engineers. Apply generative AI, NLP, and optimization technologies to new services and operational reform.
Develop automation for the Tailor Platform using AI technologies, including creating custom AI models and providing solutions to technical challenges.
Build an LLM-based sales product, implementing AI features, architecture, integrations, and quality improvements with a cross-functional team. Remote work is available.
Visa is seeking a Senior Manager to lead data science work supporting business and strategy analytics in Japan, based in Tokyo.
Investigates machine-learning methods for generating and editing video, sound, and 3D geometry, while studying memorization, concept erasure, and data attribution in generative AI.
Develop AI-based image-processing software and algorithms for factory-automation products, including machine-learning models, data preparation, algorithm tuning, and product solutions.
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 the development of AI agents using LLMs, focusing on architecture design and implementation to maximize client business value.
Lead AI and DX projects as a project manager by organizing requirements, managing progress and issues, negotiating with clients, preparing materials, and coordinating teams of 3–10 members.
Design and operate reliable payment and financial systems, covering transaction integrity, recovery, compliance, cloud infrastructure, and new financial products. The role requires 5+ years of web application experience and leadership across multiple technical domains.