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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Technically lead key Machine Learning/ AI initiatives within the Data Science function, still being hands on technically where necessary. You will be spearheading an ML/ Data Science team, delivering production level machine learning projects at scale for the business, being responsible for driving forward some major ML/ AI initiatives within the wider Data team.
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Demonstrated ability, with 7+ years of experience, in hands-on technical roles involving Data Science, Machine Learning, or Statistics. Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using sophisticated statistical modeling, machine learning, and data analytics.
$250,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're in search of a seasoned Senior AI Machine Learning Engineer with over a 10 years of hands-on experience crafting and deploying impactful machine learning models.
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Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas.
$237,500 a yearExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce resource consumption and/or eliminate latency. BS or MS in Computer Science or equivalent with Artificial Intelligence, Machine Learning, Data Science, or related field.
$256,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team offers hands-on data science and coding services to our most strategic customer opportunities to launch their training and inference workloads on AWS purpose-built ML silicon offerings.
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You will work directly with customer data scientists and ML engineering teams and write code to have the models be performant on AWS purpose-built silicon solutions. You will use and provide feedback to the various Neuron SDK libraries and help prototype and develop new features based on the latest research findings and customer requests.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance.
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You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team. Candidates may also qualify to be considered for Machine Learning Data Engineer III.
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As a part of our dynamic team, you will be an Azure AI/ML Ops Engineer focused on building a robust data platform and pipelines that enable advanced analytics. Infrastructure Operations: Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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Minimum of 5 years of experience with a bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant hands-on experience using data science techniques, including statistical analysis, mathematical optimization, machine learning, deep learning, or reinforcement learning.
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Dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques.
$97 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience building and scaling machine learning models in business applications using large amounts of data Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story Agile development mindset, appreciating the benefit of constant iteration and improvement It’s great, but not required, if you have Experience in code intelligence space, developer productivity or related fields.
$265,800 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago
hands on data science jobs Title: machine learning engineer in Vienna, West Virginia
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