{"schemaVersion":"jobsearcher.job.v1","id":"fba11b845d1a925223c426aa","url":"https://jobsearcher.com/jobs/fba11b845d1a925223c426aa","canonicalUrl":"https://jobsearcher.com/jobs/fba11b845d1a925223c426aa","title":"Data AI/ML Engineer","description":"POSITION: Data AI/ML Engineer\nLocation: Sunnyvale, CA, USA (Onsite)\nDuration: 6-12+ Months\nResponsibilities:\nDesigning, and Developing ML systems .\nCollaborating with data scientists and engineers to select, collect, clean, preprocess, and analyze large datasets for model training and feature engineering.\nTime series forecasting\nImplementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch.\nBuilding scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes, and cloud platforms like AWS), and creating APIs for application integration.\nDashboard and Data Analytics\nAnalysis to interpret results, and monitor deployed models for performance and potential issues.\nCollaboration and Communication: Working with cross-functional teams\nStaying updated with the latest advancements in machine learning, deep learning, and AI tooling to incorporate new knowledge into ongoing projects.\nDomain: Demand and supply planning\nPython, TensorFlow, PyTorch, scikit-learn\nML pipelines and data processing systems.\nML models\nMandatory Skills:\nExpert-level proficiency in Python is standard\nIn-depth knowledge of ML frameworks such as TensorFlow / PyTorch\nSolid understanding of probability, statistics, linear algebra, and calculus is essential for algorithm development and model evaluation.\nExperience with software architecture, data structures, unit testing, version control (Git), and general software development best practices.\nFamiliarity with tools for processing data\nExperience with cloud services for deploying and managing ML models (AWS).\nExperience with Data pipelines, SQL and Snowflake\nStrong analytical and problem-solving abilities.\nExcellent communication and teamwork skills.\nAdaptability and a commitment to continuous learning in a fast-evolving field.\nKindly revert with your most updated resume along with your contact details at Sid@quantumtechinc.com\nMake sure to include your professional experience in all the skills mentioned above the JD.\nCampaign Code AT1\nPay: $40.00 - $50.00 per hour\nWork Location: In person","company":"Quantum Technologies","rawCompany":"quantum technologies","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T15:08:05.504Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data AI/ML Engineer","description":"POSITION: Data AI/ML Engineer\nLocation: Sunnyvale, CA, USA (Onsite)\nDuration: 6-12+ Months\nResponsibilities:\nDesigning, and Developing ML systems .\nCollaborating with data scientists and engineers to select, collect, clean, preprocess, and analyze large datasets for model training and feature engineering.\nTime series forecasting\nImplementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch.\nBuilding scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes, and cloud platforms like AWS), and creating APIs for application integration.\nDashboard and Data Analytics\nAnalysis to interpret results, and monitor deployed models for performance and potential issues.\nCollaboration and Communication: Working with cross-functional teams\nStaying updated with the latest advancements in machine learning, deep learning, and AI tooling to incorporate new knowledge into ongoing projects.\nDomain: Demand and supply planning\nPython, TensorFlow, PyTorch, scikit-learn\nML pipelines and data processing systems.\nML models\nMandatory Skills:\nExpert-level proficiency in Python is standard\nIn-depth knowledge of ML frameworks such as TensorFlow / PyTorch\nSolid understanding of probability, statistics, linear algebra, and calculus is essential for algorithm development and model evaluation.\nExperience with software architecture, data structures, unit testing, version control (Git), and general software development best practices.\nFamiliarity with tools for processing data\nExperience with cloud services for deploying and managing ML models (AWS).\nExperience with Data pipelines, SQL and Snowflake\nStrong analytical and problem-solving abilities.\nExcellent communication and teamwork skills.\nAdaptability and a commitment to continuous learning in a fast-evolving field.\nKindly revert with your most updated resume along with your contact details at Sid@quantumtechinc.com\nMake sure to include your professional experience in all the skills mentioned above the JD.\nCampaign Code AT1\nPay: $40.00 - $50.00 per hour\nWork Location: In person","datePosted":"2026-07-23T15:08:05.504Z","dateModified":"2026-07-23T15:08:05.504Z","hiringOrganization":{"@type":"Organization","name":"Quantum Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fba11b845d1a925223c426aa"},"url":"https://jobsearcher.com/jobs/fba11b845d1a925223c426aa"}}