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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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5+ years of experience in technical pre-sales, engineering for the following (certifications a plus):Strong knowledge of automation and IoT technologies, such as PLC, I/O, HMI/SCADA, Fieldbus communication, wireless network, Edge computing, machine vision.
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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
Work from homeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
Full-timeWork from homeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Job ID: 494910 Oldcastle APG, a CRH Company, is the leading provider of outdoor living solutions in North America with an award-winning portfolio that enables customers to Live Well Outside.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Contributions to open-source projects related to data science and machine learning. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.
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Experience in computational pathology and clinical informatics, machine learning, and artificial intelligence as applied to digital pathology research and practice. Position Summary and Overview The Medical Director, Global Pathology Solutions will serve key roles in a growing Medical and Scientific Affairs function that provides leadership on medical, scientific, and clinical decisions related to the overall Leica Biosystems business strategy.
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The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, natural language processing, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering.
$88,000 - $157,000 a day (equity)ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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SCADA, HMI (Human Machine Interface ) or GUI (Graphical user interface ) all are operator interfaces mostly developed around Complicity, Wonderware, infix (Proficiency), Citect and RS View applications and the ability to create the graphic interface the customer uses to operate and manage the system.
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3+ years of experience and consistent record of success in manufacturing technology sales (prefer manufacturing software sales, machine tool capital equipment sales, and/or additive manufacturing sales experience.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Working closely with serial entrepreneurs and seasoned engineers who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer in our small and quickly growing team, you will play a major role in this effort. EquipmentShare is searching for a Senior Machine Learning Engineer to join our team.
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In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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Help partners identify and assess customer Artificial Intelligence (AI), Machine Learning (ML), or Generative Artificial Intelligence (GenAI) opportunities to discover cloud solutions to recommend, plan, and address core market opportunities and use cases.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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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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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.
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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.