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You’ll develop virtual and hands-on content for all levels of staff, manage the Learning Management System, and create “train the trainer” programs. Program Development: Develop and implement comprehensive learning programs for all team members, including virtual and hands-on content for orientation, onboarding, safety, and clinical training.
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The Senior Machine Learning Engineer builds Machine Learning models, particularly NLP and LLM, and executes large NLP/LLM models on a cloud environment at scale. The Senior Machine Learning Engineer applies direct ML knowledge and skills to make a direct impact on improving student learning experiences at WGU. This role has the courage to challenge the current state and propose innovative ideas.
$157,000 - $243,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Opportunity to work with cutting-edge technology in industrial digitization, machine learning, and process control. Join us in shaping the future of industrial digitization, machine learning, and process control.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
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Emerging Technologies Group: Covers a wide range of work, including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning, and quantum computing.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Understanding of machine learning algorithms and their application in NLP. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America s First Smart Network.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
$130,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Design and architect the implementation of Dynamic media and Adobe Sensei to perform smart cropping using Adobe’s artificial intelligence and machine learning technology. Develop APIs and services using the AEM as a headless CMS at the center with Spring Boot based microservices providing complex business services and multiple presentation technologies to handle on demand experience from the business.
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Work on big data / machine learning / data science applied to important problems in biomedicine, supported by ample computational resources. The projects entail developing machine learning- and AI-based methods and tools that take advantage of diverse and massive public data collections to gain nuanced insights about the genetic, molecular, and cellular basis of complex diseases.
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Proficient experience with machine learning operations (MLOps) and version control systems such as Git. Working experience in data visualization using packages such as Matplotlib, Plotly, analytics tools such as Spotfire, Power BI, MATLAB GUI, Tableau, or web development frameworks like Dash, Streamlit etc.
$115,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Albertsons will train you to become a pharmacy technician offering classes from our pharmacy learning and development team, pharmacy computer system and hands-on training with our teams.
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hands on machine learning jobs Title: architect Company: Databricks Inc in Denver, CO
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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 today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
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.