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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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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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Demonstrated interest in AI technologies and willingness to learn how AI can enhance HRIS platforms like Workday, including basic understanding of machine learning concepts, natural language processing, and predictive analytics.
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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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The Training Manager will also provide professional development coaching and support to facility learning and development providers. The Training Manager develops training programs or learning plans to achieve business goals.
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Minimum 10 years' work experience in a marketing capacity (marketing associate, marketing coordinate, associate product manager, product manager, senior product manager, product/technical director, etc.
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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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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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Convert limited verbal and written directions from Job Captain or Project Manager into a finished product or document. to assist the Project Manager in producing quality construction documents in an efficient and profitable manner.
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Manage quotation and service log systems, maintain required literature and product manuals on file. Works with the machinery category manager to develop new products and support vendor relationships.
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4+ years experience as a Product Manager. In this role you'll be a key part of our product management team and a partner to the entire Modern Health tech team as a product leader on the blended care and measurement team.
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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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machine learning product manager jobs Company: Bipventures in Atlanta, MO, Germany
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