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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training Client models, and a proven record of deploying models in relevant applications such as computer vision.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This is a prime opportunity for a candidate who excels in crafting bespoke and technically complex machine learning solutions. - Focus on bespoke solutions involving complex algorithms, including but not limited to embeddings, image segmentation, and various deep learning architectures.
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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. 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.
$88,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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We are seeking a highly motivated individual with hands-on experience in model development and implementation using Machine Learning, Deep Learning, Natural Language Processing and/or Generative AI modeling techniques.
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Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate. Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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As a hands-on leader, stay up front with latest technology development in the science domain, including but not limited to machine learning, generative AI and LLMs, and drive science applications and innovations in products and programs in SDS.
$340,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR). This is an opportunity to work on high-impact, top-secret projects involving advanced machine learning and artificial intelligence.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates may also qualify to be considered for Machine Learning Data Engineer III. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset.
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Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques. Working knowledge (Hands-on) of Databricks, Python and Snowflake.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) A foundation in machine learning, deep learning, and NLP (LLM) modeling.
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hands on machine learning jobs Title: solutions architect Company: Amazon in Laramie, Wyoming
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