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Senior Machine Learning Engineer Location: United States of America Time Type: Full time Job Description Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your…
Build and deploy AI/ML models for Yahoo Mail’s personalization and NLP systems, leveraging PyTorch/TensorFlow and cloud-native pipelines at scale.
Head, Innovation Accelerator Data Science Location: South San Francisco, Boston Time Type: Full time Job Description This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective…
Senior Python Developer Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for…
Principal Python Developer Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking…
Machine Learning Engineer Team: IT Location: Sweden Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is…
Data Scientist, Senior Location: Chantilly, Virginia, United States Department: Space Intelligence What Impact You'll Have GRVTY is hiring a Senior Data Scientist to support an IC program developing an…
[Ambev Tech] Cientista de Dados Senior Team: Analyst Location: Brazil Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps.…
Build and deploy generative and agentic AI systems on Azure AI Foundry and Dataiku, including chatbots, multi-agent workflows, and CI/CD pipelines.
Build and deploy AI/ML models in Python to extract insights from large datasets and advise stakeholders on data-driven decisions.
Freelance AI/ML engineers advise clients or join emagine’s teams on projects using Python/R, TensorFlow/PyTorch, and cloud platforms like AWS/Azure to build, deploy, and optimize models for enterprise clients.
Build and deploy generative AI and LLM solutions, designing NLP pipelines and scalable ML systems for clients using Python, TensorFlow/PyTorch, and cloud MLOps.
Data / ML Automation Intern Location: Jakarta, Indonesia Department: Customer Experience Xendit provides payment infrastructure across Southeast Asia and is expanding to Greater China and LATAM. We process payments,…
Applied AI & ML Lead – Markets Operations Location: LONDON, LONDON, United Kingdom Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you’ll lead a talented…
Applied AI / ML Lead Software Engineer Location: Dublin, Ireland Join us in Dublin as part of JPMorganChase’s Employee Platforms technology organization, where you’ll help shape the future of work for over 300,000…
Data Scientist Location: VA J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System…
As a Principal Software Engineer at Broadcom's Avi Analytics team, the role involves architecting and building high-performance, cloud-scale analytics and security solutions, focusing on distributed microservices, data pipelines, and optimizing massive telemetry data for application performance and security.
We Go Beyond: At Bed Bath & Beyond , we believe that everyone should “Be You!”. Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s…
Leads the design and launch of a shared workflow engine for Epicor’s ERP platform, defining how AI agents execute multi-step tasks across systems while ensuring reversibility, auditability, and seamless integration for internal teams and customers.
Leads the design and evolution of Prism Core, an AI platform orchestrating third-party models and proprietary agents, focusing on model selection, guardrails, security, usage tracking, and monetization to ensure reliability, safety, and scalability for Epicor’s ERP and AI-driven products.
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