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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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As a Contract Site Reliability Engineer you will report to a Manager and be part of a team that provides software engineering services to a forecasting system owned by the client This role will assist with designing and enhancing existing infrastructure solutions by leveraging experience to help set cloud technology direction.
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Provide engineering and project management support to the government PM/COR of the NGA Airborne Exploitation Capabilities (AEC) contract from requirements statements to O&S support and Earned Value Management System (EVMS) review.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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From curbside to rooftop, ABM’s comprehensive services include janitorial, engineering, parking, electrical and lighting, energy and electric vehicle charging infrastructure, HVAC and mechanical, landscape and turf, and mission critical solutions.
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To always review instructions from dispatchers and yardmasters, and discuss with locomotive engineer and train crew; To effectively understand and review instructions and effectively communicate these instructions with locomotive engineer and train crew.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Access to a robust learning management system, full of e-learning modules and training programs to help boost your professional and personal development. We have worked to create a welcoming and inclusive environment where Team Members can collaborate freely to help spark innovation, drive creativity, advance their skillset, and move their career forward.
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Alternative Investments, Business Development, Capital Markets, Client Relationship Management, Consultative Communication, Data-Based Decision Making, Nuveen Products/Services Acumen, Practice Management Strategy, Sales Process Management.
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Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale. Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. BJC Institute for Learning and Development.
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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?
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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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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.