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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Biotronik temp pacemaker box, Siemens X300 ICE machine, Laser, Impella, IABP, PA lines (swans), Alaris IV pump, Hemochron ACT machine. Biotronik temp pacemaker box, Siemens X300 ICE machine, Laser, Impella, IABP, PA lines (swans), Alaris IV pump, Hemochron ACT machine.
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Premier Asset Managers leverage our comprehensive investment operations systems and cloud services to drive growth and efficiency in the dynamic market conditions. Experience with cloud platforms (AWS, Azure, GCP.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Familiarity with load balancers (ex – A10, F5), firewalls (ex – CheckPoint), Venafi, MDM (ex - Mobile Iron), Cloud (ex - AWS, Azure), Malware Protection (ex -FireEye), Advanced Persistent Threats (ex - Damballa), Privileged Accounts (ex – CyberArk), SIEM (ex – ArcSight), Log & Event (ex – Splunk), Intrusion IDS/IPS (ex – Symantec) , Cloud Platform (ex – PCF, Docker), Scanning (ex – Qualys), AppSec (ex - Veracode.
$181,800 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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Machine Learning Engineer, Applied Science and Technology, Environmental AI. You are a machine learning engineer passionate about AI for Earth. We highly value the machine learning research, academic, and engineering communities and we believe in fostering meaningful collaborations between them.
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Experience in Azure, Google cloud Infrastructure services, Data Platform services ( Kafka, Azure Cosmos, Azure SQL, Mega cache etc), CI/CD, Service observability (Metric, Logs, Traces) - Prometheus, Grafana, Splunk etc.
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Our Intelligent Protein Design Technology merges computational protein design, machine learning, and synthetic biology tools to produce proteins, enzymes, and bio-based processes more efficiently than even Mother Nature.
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Proficiency in at least one modern programming language, such as Python, Marchine Learning, Java, Go, Scala, C. IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient.
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Operate sterilizer machine, process regulated medical waste in sterilizer machine, perform biological indicator spore test and steam chemical integrator for sterilization assurance. + Operate cardboard baler machine, change cardboard bale as needed.
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Whether it's reducing methane emissions at agricultural facilities and landfills, repurposing contaminated properties, producing alternative energy, or sequestering carbon, we've been focused on finding smart climate solutions and improving the natural environment since our inception over 50 years ago.
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PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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These technologies support our fully equipped Instrument/Machine Shop, which houses a broad range of high-quality equipment including 3, 4, and 5 axis CNC mills, EDM wire, EDM drill, CNC lathes, CNC waterjet, 3D printers, and CNC press brake.
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Excellent programming skills in Python (or a similar language) and familiarity with machine learning libraries (e.g.,TensorFlow, PyTorch, or JAX) As a principal machine learning engineer in the machine learning platform team, you will collaborate with ML engineers, software engineers, and product managers to ensure the ML Platform can quickly adapt to the needs of evolving AIML landscape at Apple.
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machine learning natural language processing google cloud jobs Company: Agile Loop in Seattle, WA
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
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"Nothing we do is more important than hiring and developing people."
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.