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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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TheMachine Learning Engineerrole requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Capital Markets domain expertise – specific knowledge of one to two product domains and value chain such as Equities, Fixed Income, Foreign Exchange, Derivatives, Collateral management, Sales/Trading/Research, Settlements, Financial Management / Product Accounting, Risk, Credit.
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Our programs include primary and preventive health care, dental and vision, culturally appropriate health education, chronic disease management and prevention, integrated HIV/AIDS-related services and integrated behavioral health and substance use care.
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Must have minimum of four years verifiable experience as an industrial CNC machine operator and possess the following: a CNC operator certificate, or 2-year degree in - manufacturing technology, or PLC Programming, or Industrial Systems Technology, or Machine Tool Technology required.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally. Exposure to AI, Deep Learning, Neural Networks, NLP.
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Primary duties of the Trash Collector include: - Operating garbage trucks - Collecting and dumping trash receptacles - Following route assignments as directed Waste Management offers an excellent benefits package that includes medical, dental, vision, life, 401(k) savings and more.
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The ideal candidate must have a working knowledge of federal, state, and local laws and regulations affecting the delivery of school health services, normal and abnormal child development, and educational principles and approaches pertinent to children with various intellectual and learning disabilities, special needs preschool children, and principles of nursing.
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Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements. Experience leading implementations of Service Mapping, Application Inventory Management and IT Asset Management.
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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 (e.g., AWS, Google Data Analytics, Microsoft Azure.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience in deploying projects in multiple product areas: IT Service Management (ITSM), Customer Service Management (CSM), IT Operations Management (ITOM), IT Asset Management (ITAM), and Field Service Management (FSM.
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