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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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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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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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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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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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Collaborate closely with and stay actively engaged in future pipeline discussions together with other product management members, headquarter liaisons, R&D, and marketing personnel.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Key word search: Python, Master's degree, predictive maintenance, preventative maintenance, relocation package, data science.
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EMS Foreman, Electrical, EMS, Installer, Install, Installation, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, sr, senior, specialty.
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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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Cultivate relationships across the Software R&D organization, the broader R&D organization, and Product Management as well as with Finance, Procurement, and the Global Software OrganizationContribute to the thought leadership and technical direction within the Software R&D teamMentor and evangelize Agile, Lean, and Continuous Development coding best practicesDevelop new leaders and grow the capabilities of the team.
$125,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years’ experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc. 3+ years’ experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc.
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