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Use either Ghost Machine (GM) Pig and/or GMLearn Instant Environment to conduct Exploratory Data Analytics (EDA) Use PyTorch, Tensorflow, and/or XGBoost Machine Learning (ML) libraries to apply LLM.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
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If you possess a degree in engineering (e.g., systems, biomedical, industrial, mechanical, health systems, human systems), computer science, mathematics, or computational social science, and want to work in the areas of health and human-machine systems, we would love to have you join our team.
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Experience with Machine Learning toolsets and development with one or more of the following (Tensor Flow, PyTorch, LLMs, scikit-learn, pandas or similar)Experience with ETLT pipelines and toolsets (e.g. Kafka, Pulsar, ActiveMQ or similar)Experience with containerization (e.g., Docker, Kubernetes) and Virtualization (KVM, ESXi) and Cloud technologies (AWS, GCP.
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Responsible for calculating and entry of individual patients’ dialysis machine programming for Ultrafiltration (UF) goal; treatment time; Sodium (Na) modeling; and UF modeling as prescribed. Initiates renal replacement treatment according to prescribed orders including setting blood flow rate (QB) and dialysate flow rate (QD) or peritoneal dialysis as prescribed by the attending nephrologist.
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Expertise with modern machine learning development frameworks (e.g. Keras, TensorFlow, PyTorch) The candidate will be responsible for leading the design, development, and prototyping of RF machine learning algorithms.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This is a role that will provide the opportunity to develop skills and experience in Machine Learning, Artificial Intelligence, and a wealth of data engineering initiatives. Sealing Technologies is seeking a Senior Cybersecurity Analyst to aid in the development and maintenance of a Machine Learning platform for a DoD Customer.
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Opportunities in research and development exist in such areas as Machine Learning, Artificial Intelligence, Natural Language Processing, and Distributed Computing to support the Army command, control, communications, and intelligence capabilities of the future.
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Have experience in applying Machine Learning/Artificial Intelligence techniques to networking problems. Have demonstrated extensive experience with SD-WAN products from vendors such as Cisco Viptela, VMware VeloCloud, Juniper SSR, Silver Peak, or Fortinet.
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Experience with cloud computing (AWS preferred) or artificial intelligence (AI) and machine learning (ML) is desired but not necessary for applying. Other responsibilities include, but are not limited to, coordinating courses and adjunct faculty, developing/updating curriculum, serving on committees, performing academic advising and mentoring.
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We aim to make machine learning model creation, sensor and processor selection, and embedded product creation all effortless for customers. Some experience in applying machine learning to signals in domains like audio, vibration, electrical, etc.
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You will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization, and much more.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at lease one mid-level language (e.g., C.
$131,835 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Rotating and working in various assigned pharmacy workstations including: Packaging, Staging, Returns, Receiving, Narcotics, IV, Ekit, Compounding, Omnicell Cycle Fill, Machine Packaging. Rotating and working in various assigned pharmacy workstations including: Packaging, Staging, Returns, Receiving, Narcotics, IV, Ekit, Compounding, Omnicell Cycle Fill, Machine Packaging.
$16 - $27.54Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Eaton's IS AER FED is currently seeking a Machine Operator - 2nd Shift. Eaton's IS AER FED is currently seeking a Machine Operator - 2nd Shift. Must be authorized to work in the United States without corporate sponsorship now and in the future.
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machine job Company: Leidos Holding in Laurel, MD
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The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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.
How to Increase Job Ad Exposure
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.
How to Navigate Hiring Out of State
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.