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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Experience in new machine learning platforms such as Tensorflow, Keras, Pytorch is highly desired. Under the supervision of a PIs, the selected candidate will lead data analyses for projects related to heart disease and is expected to leverage conventional and advanced data science/machine learning approaches in the analysis of high-dimensional clinical datasets.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
$145,800 - $235,950 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The position will build upon concepts including feature engineering, statistics, data visualization, and optimization, to lead machine learning based analyses of complex data involving tabular, free text, and imaging data.
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In addition, the applicant should have excellent programming skills in MATLAB and Python and potentially have emerging experience with machine learning, neural networks, or deep learning frameworks.
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We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, signal processing, sensor innovation, and multi-modal sensor fusion. Working closely with the Department of Defense (DOD), National Science Foundation (NSF), and National Institute of Health (NIH), we’re proud to be tackling some of our nation’s most pressing needs and look forward to having you join as our Director of Business Development, leading our Government accounts, you will help develop and lead go-to-market strategies in the Federal Government.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Serna Bio is a preclinical drug discovery company developing small molecules that can modulate translation and splicing, by targeting RNA. Founded in 2021, Serna Bio leverages the convergence of synthetic biology, machine learning (ML), and massively multiplex screening to tackle the historical challenges of drugging the RNA universe.
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The ideal applicant will understand LLM APIs thoroughly and be an expert in Python (3.9 and higher) using Flask, Django, or Fast API. Experience building ML training pipelines and distinctive machine learning models is a major focus for this role, therefore previous experience is a huge plus.
$170,000 - $185,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CUDA programming skills Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing.
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A fast-growing company with plenty of opportunity for personal growth and development A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning The ProcessApply now with your CV and any supporting information.
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Minimum ten years recent relevant experience in product management, product development or architecture design with a focus on technology platform, data and machine learning services and APIs.
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