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AT Integration: Seamlessly integrate NLU, LLM and NLP technologies to enhance the chatbot’s understanding, conversation flow and response generation capabilities. 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.
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We are seeking a talented and skilled Machine Learning Scientist II to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
$110,500 - $180,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Science intern on our team, you'll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 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.
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Strong expertise and knowledge in deep learning, NLP, ML-ops, and distributed systems. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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We have exciting roles for Data Science professionals to help build and solve some of the most unique, interesting, and challenging questions related to Natural language processing (NLP) utilizing a variety of Machine learning and deep learning techniques within Artificial Intelligence.
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Model prototyping and development : Use machine learning, deep learning, and NLP to prototype, develop, and refine models on top of our ML platform, leveraging best practices and established frameworks.
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6+ years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
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Experience in developing AI solutions for any of the following domains: Computer Vision, Medical Image Processing, Geo-spatial Intelligence, Natural Language Processing (NLP) or Signal Processing.
$16.2 - $28 an hourInternExpandUpdated 17 days ago - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis.
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You bring to this team environment several years’ experience in deep learning using the latest in transformer-based NLP architectures, as well as the curiosity and grit to see a project to delivery.
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The R&D team is made up of an incredibly diverse set of skilled researchers and engineers with different areas of expertise including Autonomous Navigation, Perception and Computer Vision, Human-Robot Interaction and NLP, Manipulation and Control, Mechatronics, and Cloud Computing.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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What’s in it for you: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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