- UpvoteDownvoteShare Job
- Suggest Revision
Strong working knowledge in applying data analysis algorithms (statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Private equity (PE) firms, portfolio companies and investment funds are under pressure to deploy capital and create value amid unprecedented economic and geopolitical uncertainty, increased competition, and rising stakeholder expectations.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Good knowledge of Contact Center technologies, including IVR, ACD, WFM, CRM integration, chatbots, natural language processing, RPA, and reporting/analytics. Strong knowledge of Contact Center technologies, including IVR, ACD, WFM, CRM integration, chatbots, natural language processing, RPA, and reporting/analytics.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As part of our commitment to delivering exceptional service experiences, the candidate will leverage advanced AI, Natural Language Understanding (NLU), Large Language Models (LLM), and Natural Language Processing (NLP) technologies.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
NSA is unique in its ability to offer the opportunity to work on cutting edge problems in a wide range of technical fields including: - Data Science - Machine Learning - Human Language technology - Cryptology - Signals analysis - Speech/image/video processing - Network analysis - Cyber security - High performance computing All employees at NSA have access to diverse opportunities with the expectation that they will continuously grow as professionals.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience using machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing and generative AI techniques with proven track record of end-to-end building and deploying advanced applications, including knowledge of model serialization and deserialization.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
A wide range of technical expertise finds a natural fit at NSA including, but not limited to, fields of algebra, combinatorics, Fourier analysis, operations research, graph analytics, regression, machine learning, exploratory data analysis, stochastic processes, statistical modeling, forecasting, and cryptography.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Staying up-to-date with the latest advancements in natural language processing (NLP) and machine learning (ML) research, exploring new techniques, and applying innovative approaches to enhance model performance and capabilities to support our clients' staffing services.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation. Are you a skilled Large Language Model (LLM) expert with a strong background in programming/ coding and a passion for precision in writing.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
In Forschung & Entwicklung Bist du auf der Suche nach einer aufregenden beruflichen Herausforderung im Bereich Natural Language Processing? Natural Language Processing (w/m/d.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc. From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Natural language processing, sentiment analysis, machine learning. International SOS membership to support you whilst travelling. Canonical is a pioneer in the digital workplace, established in 2004 with a global, remote-first policy that has delivered world-class open source and sets the pace in cloud, developer and IoT technology.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Prior work with text and natural-language processing. You are a Data Engineer with experience in processing terabytes of data. Experience extracting, processing, storing, and querying of petabyte-scale datasets.
ExpandApply NowActive JobUpdated 11 days ago
natural language processing jobs in Oklahoma City, OK
FEATURED BLOG POSTS
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.