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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Must have 2 years of experience with robotic welding, including: 1 year of experience with Machine Learning Algorithms using Python and scikit-learn, pandas, NumPy, and SciPy packages; digital communications including SPI and Ethernet UDP messaging; managing multiple actions on 1-4 active projects using Agile methodology; and communicating and presenting Machine Learning topics to upper management and customers involving Machine Learning algorithms applied to welding data.
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As a Software Engineer on the US Risk Technology team, you’ll serve as a technology partner for the US risk management function. Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning.
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Our client in Forth Worth, Texas is looking for an FEA Engineer with Artificial Intelligence and/or Machine Learning experience. Minimum of 1 year effectively applying Artificial Intelligence or Machine Learning techniques and physics-based AI algorithms to simulation models, improving design cycle times for accelerated innovation.
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2+ years of experience as a developer, data scientist or machine learning engineer. 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
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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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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Our client has several senior software engineering opportunities with various focuses including embedded Linux administration, machine learning, UI development, autopilot software and system architectures.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Controls Engineer Responsibilities: • Program and configure PLC (Programmable Logic Controller) and HMI (Human-Machine Interface) systems using industry-standard software and tools.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.
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Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.
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Thousands of organizations worldwide - including Comcast, Condé Nast, Nationwide and H&M - rely on Databricks' open and unified platform for data engineering, machine learning and analytics.
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software engineer data program management machine learning jobs Company: Clearancejobs in Kekaha, Hawaii
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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 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
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