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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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5+ years of experience in machine learning engineering, data science, or a related field. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
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The incumbent is responsible for providing group psychotherapy on inpatient units, residential and/or partial hospital programs (as needed), along with providing individual therapy which focuses on the application and acquisition of skills addressed in groups.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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You can find out more about us by visiting our website ( mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning.
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Keywords: Residential Support Staff, RSS, Direct Support Professional, Direct Service Provider, DSP, Caregiver, Caretaker, Community Facilitator, Dayhab, Day Habilitation, Intellectual Disability, Developmental Disability, IDD, Long-term Care, LTC, Home Health, Nurse Aide, Nurse Assistant, CNA, Home Health Aide, HHA.
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Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking. Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
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Knowledge of machine learning algorithms, statistical modeling, and data structures. Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
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SUMMARY: Weld and fabricates metal grating with the proper materials to the correct dimensions, tolerances, and/or other specifications as defined on the job traveler and drawings.
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Proficiency in Python for machine learning and data analysis. Strong problem-solving mindset and a proactive attitude towards learning and self-improvement. Document technical solutions, processes, and best practices, and share knowledge with team members to facilitate learning and collaboration.
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Join our team as a Health Education Class Facilitator at Rosewood Family Health Center in Portland, OR, and be part of a healthcare organization that believes in making a difference beyond medical care.
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We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. This role is based remotely but if you live within a 50-mile radius of Warren, MI, or Austin, TX, you are expected to report to that location three times a week, at minimum.
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Strong open-source portfoliopublications at top-tier ML venuesexperience working in an early-stage startup environmentunderstanding of how machine learning models fail in the wild. Experience pushing or implementing the cutting-edge in machine learning.
InternExpandApply NowActive JobUpdated 6 days ago
Title: learning facilitator Company: Intuit
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
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If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.