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Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
Build and scale AI-powered SaaS backend systems using Go/Java/Node.js, cloud platforms, and modern APIs; integrate ML features and lead technical decisions for global customers.
Build and scale ML-powered recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms to personalize user experiences at scale.
Owns resume and career-document product initiatives, using data and AI to improve user guidance and conversion for job seekers.
Build the core payment intelligence system for Uno Wallet, designing real-time decision engines for iPhone payments that optimize for merchant context, user rewards, and purchase goals. Own end-to-end development from mobile app to backend/data infrastructure.
Build and scale enterprise-grade full-stack apps using React, Node.js, and cloud services, integrating AI features like copilots and RAG while ensuring performance and security.
Do you want to make a real difference to real people's lives? Want to design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new…
Mid-level engineer building and maintaining web applications, designing scalable solutions, and leading components from conception to deployment in a hybrid role.
Lead a data-science team to build and deploy ML models that power personalized shopping experiences and recommendation systems for an ecommerce retailer.
Builds and optimizes backend systems for a free ad-supported streaming TV platform, focusing on video ingestion, metadata APIs, and recommendation pipelines using Java, Kubernetes, and cloud databases.
Own product initiatives from concept through execution, translate business and user needs into product requirements, partner with engineering on scalable technical solutions, manage the roadmap, define success metrics,…
Owns end-to-end AI/ML systems for LinkedIn’s recommender/classification platforms, designing models, optimizing GPU fleets, and driving production impact at scale with Python/Java and frameworks like PyTorch.
Build and own large-scale AI systems that power LinkedIn’s core products, from model training to production deployment at billion-member scale.
Build open-source AI tools and reference codebases for NGOs, integrating data and advising on generative AI products while mentoring partners.
Build and deploy production ML models—reinforcement learning, contextual bandits, and deep learning—to optimize Creator tools and ad systems for YouTube Creators.
Principal Product Manager defines AI-powered personalization and ranking strategy for Microsoft’s Edge, Windows, Copilot, and partner surfaces, balancing relevance, freshness, and long-term user value.
Design, build, and deploy ML models and pipelines for production use, collaborating with global teams to integrate AI solutions into client systems.
Build and deploy ML models and analytics to optimize multifamily real-estate investments and operations, using Python, SQL, and cloud platforms.
Job Openings Lead Founding Backend Engineer (Node, Python, React, AI/ML) - Startup Experience About the job Lead Founding Backend Engineer (Node, Python, React, AI/ML) - Startup Experience About the Company One of our…
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