{"schemaVersion":"jobsearcher.job.v1","id":"1eb09a25fc53942dc0fb66e5","url":"https://jobsearcher.com/jobs/1eb09a25fc53942dc0fb66e5","canonicalUrl":"https://jobsearcher.com/jobs/1eb09a25fc53942dc0fb66e5","title":"Machine Learning Engineer (Full Time)","description":"Machine Learning Engineer JD\nLeverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.\nDesign and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks.\nResearch and implement state of the art LLM models for different business use cases including finetuning and serving the LLMs.\nEnsure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring.\nOptimize integration between popular machine learning libraries and cloud ML and data processing frameworks.\nBuild Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.\nJob Type: Full-time\nPay: $100,850.65 - $120,164.23 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nHealth insurance\nHealth savings account\nLife insurance\nRetirement plan\nTuition reimbursement\nVision insurance\nCompensation package:\nYearly pay\nExperience level:\n10 years\n11+ years\n9 years\nSchedule:\n10 hour shift\n8 hour shift\nMonday to Friday\nApplication Question(s):\nPlease Mention your Work Authorization (USC OR GC)\nIs it okay to go onsite to near TCS office twice or Thrice in a Month?\nExperience:\nMachine learning: 8 years (Preferred)\ndeployments in IT/OT Products space: 5 years (Preferred)\nLLM models: 6 years (Preferred)\nWork Location: Remote","company":"Proit","rawCompany":"proit","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:27:08.319Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer (Full Time)","description":"Machine Learning Engineer JD\nLeverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.\nDesign and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks.\nResearch and implement state of the art LLM models for different business use cases including finetuning and serving the LLMs.\nEnsure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring.\nOptimize integration between popular machine learning libraries and cloud ML and data processing frameworks.\nBuild Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.\nJob Type: Full-time\nPay: $100,850.65 - $120,164.23 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nHealth insurance\nHealth savings account\nLife insurance\nRetirement plan\nTuition reimbursement\nVision insurance\nCompensation package:\nYearly pay\nExperience level:\n10 years\n11+ years\n9 years\nSchedule:\n10 hour shift\n8 hour shift\nMonday to Friday\nApplication Question(s):\nPlease Mention your Work Authorization (USC OR GC)\nIs it okay to go onsite to near TCS office twice or Thrice in a Month?\nExperience:\nMachine learning: 8 years (Preferred)\ndeployments in IT/OT Products space: 5 years (Preferred)\nLLM models: 6 years (Preferred)\nWork Location: Remote","datePosted":"2026-04-12T20:27:08.319Z","dateModified":"2026-04-12T20:27:08.319Z","hiringOrganization":{"@type":"Organization","name":"Proit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1eb09a25fc53942dc0fb66e5"},"url":"https://jobsearcher.com/jobs/1eb09a25fc53942dc0fb66e5"}}