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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions. Hands on experience with designing and deploying machine learning models using Scikit-Learn, Tensorflow, Pytorch, etc is preferred.
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Position Overview:We are seeking an experienced Machine Learning Engineer to join our team, specializing in Large Language Models (LLMs) and Generative AI. The ideal candidate will have a strong background in AI/ML technologies, with specific expertise in developing, training, and deploying large-scale language models and generative systems.
$95,625 - $159,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Embed machine learning, artificial intelligence and Gen AI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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Collaborate closely with cross-functional teams, including Technical Product Owners, Technical Delivery leads, developers, UI/UX SMEs, data engineers, visualization engineers, data scientists, AI/ML Engineers, Bioinformaticians, and domain experts, to build scalable data pipelines, integrate machine learning models, and ensure seamless application and platform functionality.
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The Sr. Data Engineer will be a champion of the latest Cloud database technologies & data engineering tools. Experience with container-based application deployment frameworks (Kubernetes, Docker, ECS/EKS or similar.
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Experience with machine learning, data science tools, operational systems using AI/ML, processing, and visualization skills for generative AI projects. The Cloud Application Engineer will support Research, Discovery and Development activities on AWS, Azure and leverage tools and frameworks such as Docker, Kubernetes and Terraform to build and deploy scalable and resilient applications.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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The candidate is a leading technical contributor and creative problem solver with a strong background in design and hands-on development expertise in ML (Machine Learning), LLMs, GenAI with a consistent track record of accomplishment in integrating solutions to establish advanced AI-driven capabilities.
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4+ years experience in developing applications leveraging AI technologies: Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) for production application.
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deployment machine learning engineer jobs Company: Danaher Corporation in Lawrence, NJ
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