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Machine Learning Scientist (SocialFi/Decentralized Platform)Location: New York City, London (Office)Compensation: $250K - $300KWe are a high‑growth software development company that is redefining what is possible in the social and decentralised technology space. We are proud contributors to one of the biggest global social networks in the crypto space. We are committed to leverage in the most cutting edge technology to build the future of decentralised applications.Key ResponsibilitiesModel Design & Development: Design and develop advanced machine learning models to improve the platform's user experience, to enhance predictive capabilities and to drive more personalised user interactionsData & Insights:Help build scalable wealth data pipelines and leverage large datasets to generate actionable insights that directly inform strategic product developmentInfrastructure Optimization:Assist in building and optimizing ML infrastructure to ensure systems are scalable, efficient and robust for production level data processing and model deploymentProduction Integration:Work closely with product teams to seamlessly integrate ML models into the platform, ensuring optimal performance and real‑time data processing capabilitiesMonitoring & Optimization:Monitor, optimally perfect, and iterate on deployed models in a live environment to ensure long‑term performance and adapt to evolving preferencesCollaboration:Collaborate with engineers and data scientists to tackle unique challenges, especially in large‑scale, decentralized data processingResearch & Innovation:stay at the cutting‑edge of machine learning research, continuously introduce new insight and state‑of‑the‑art techniques to the teamRequirementsExperience:An experienced machine learning scientist with strong foundational knowledge in algorithm, data structure and statisticsProgramming:PythonProduction:Hands‑on‑des Deployment & Learn instantly on the places.. ;" Actually, ill ???..??Infrastructure:Experience in maintaining weapon of cat quick ...We confirm as Helpt posted cuts here..." #J-18808-Ljbffr
