- UpvoteDownvoteShare Job
- Suggest Revision
Examples include identifying property features from Aerial Imagery using computer vision, classifying businesses from documents using natural language processing, and optimizing the performance of our digital insurance offerings.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with artificial intelligence and natural language processing is a plus. Understanding of EMR systems (like Epic, Cerner) and EDC platforms (such as Medidata Rave, Veeva EDC.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Additional areas of focus may include Predictive Model development and validation, using Natural Language Processing (NLP) to extract information from complex data sets, and additional machine learning algorithms.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Lead the team to design and deploy AI/ML models using generative AI, computer vision, and natural language processing. Established knowledge and practical experience in areas like computer vision, natural language processing, and generative AI.
$174,600 - $305,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Lead Data Science and Machine Learning (ML) executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
$168,500 - $280,800 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.
Full-timeRemoteExpandApply 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 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.
Full-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Deep understanding of E-Commerce search solutions, query development, relevancy tuning, and implementing Natural Language Processing (NLP) use cases. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Keyword(s): Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, Natural Language Processing. Experience in natural language processing and understanding large language models (such as GPTs, Llama, Gemini, etc.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Areas of focus include digital ubiquity, climate change, sustainability, new transportation models, insurance value chain disruption, and risk services. Experience with the Python data science and machine learning ecosystem, ideally with an understanding of PyTorch.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Background in and understanding of energy project processes, such as: biofuels processing; gas stream and solvent systems; carbon capture, utilization, and storage (CCUS) technologies; hydrogen generation (e.g., electrolysis, natural gas reformation) storage, and transportation systems; amine solvent processes for CO2 removal; etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with semantic search, vector embeddings and natural language processing (NLP). Experience with semantic search, vector embeddings and natural language processing (NLP). Practical experience with Docker, Kubernetes, and other deployment technologies, preferably within the AWS Ecosystem (ECS & EKS.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience in natural language processing and deep learning. We are seeking a talented and highly motivated engineer with background in natural language processing to join our team.
$102,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
natural processing jobs in South Boston, MA
FEATURED BLOG POSTS
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.
10 Importancies of Setting Realistic Goals
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.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
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.