- UpvoteDownvoteShare Job
- Suggest Revision
Net, PySpark, Python, SQL NoSQL, C#, and scripting languages (Linux or Powershell); 2 years of experience in Machine Learning projects, putting in production and maintaining with MLOps methodologies; 2 years of experience in natural language processing, neural network design, machine learning forecasting, audio and image processing, and applying machine learning to IoT projects incorporating knowledge graphs; and 2 years of experience with hands-on DevOps experience on Azure services.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. 2+ years experience in computational linguistics or language data processing.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proven experience (1-3 years) as a Machine Learning Engineer and/or Data Scientist with a focus on model development and deployment. Utilize Databricks for efficient data processing, feature engineering, and model development, optimizing workflows for scalability and performance.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for 3 to 5 years of experienced Machine Learning Engineer with a strong background in data science, machine learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) technology.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
State Street's Bionics team has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, computer vision and cognitive computing at scale for multiple use cases across Global Delivery, Global Advisors, Global Markets, and Global Exchange business lines.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
$102,900 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
$100,200 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are encouraging applicants with strong research background in data science, machine learning, or natural language processing with a focus on biomedical applications.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Utilizes methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions.
$36.8 - $56.13 an hourFull-timeExpandApply NowActive JobUpdated Today
machine learning natural language processing data engineering jobs Company: Thomson Reuters
FEATURED BLOG POSTS
Why Are Internships Important & How Can You Get One?
Internships are for college students or people who have just completed their degree. If you are a student or recent grad, you may be wondering how to land an internship. If you've never had one, you may even wonder if you need one. After all, didn’t you work in that call center while also doing exams? Or perhaps you’ve bartended your first year in college?
Why is Networking Important & How to Network Effectively
Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
Why Do Recruiters Ghost and What Can You Do About It?
Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
Internal Hiring Best Practices
Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
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.