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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on entry-level 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.
$85,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This is a full-time, permanent position with a hybrid work model based in New York. We are at the cutting edge of the technology industry, using advanced AI, deep machine learning, and natural language processing to revolutionize the financial sector.
$275,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Lead Computational Linguist, you will leverage your expertise in NLU, machine learning, and human language data sets to create customer-centric experiences for an industry-leading virtual assistant.
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics.
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Knowledge of algorithms for data mining, machine learning, and natural language processing (NLP). We’re looking for an experienced People Research Scientist or data scientist practitioner to join our Future of Work Research and Analytics team.
$106,000 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge on Google Cloud, especially end-to-end machine learning with TensorFlow on GCP, Smart analytics & AI on GCP, Terraform, CAIP, DLVM, Big Query, NLP notebook, Python notebook services, R Notebook services, Data exploration services, Data visualizations, Tableau, RStudio, Speech to text, Text to speech services, IAM permissions configurations etc.
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The Bedrock AI Data Team in Amazon Web Services (AWS) is looking for a Language Data Scientist to collaborate in developing solutions for natural language data collections.
$86,700 - $206,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We’re looking for a Senior MLE with natural language processing (NLP) expertise and experience with large language models (LLM). Senior Machine Learning Engineer.
$200,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Product, Product Manager, Product Management, NLP, LLM, CV, Artificial Intelligence, Software, SaaS, SQL, Python, Java, AWS, React, Code, Coding, Roadmap, User Requirements, Engineer, Engineers, Engineering, Machine Learning, ML, MLOps, Machine Learning Operations, Natural Language Processing, Large Language Models, TensorFlow, PyTorch.
$160,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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4+ years of Machine Learning and/or Deep Learning experience. We are leveraging Machine Learning as an integral part of our toolkit to fulfill our mission. Learning and Development resources.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Migrate legacy MWBE applications and data to cutting edge platforms. Hands-on knowledge in machine learning, deep learning, Tensorflow, Python, NLP. Troubleshoot application performance bottlenecks to ensure fast efficient workflow and data processing.
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A sample of the typical technologies used include AWS, Java, JavaScript, Python, Spring Framework, Hibernate, RESTful API, Machine Learning, Natural Language Processing, React, Docker, Kubernetes, and more.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, write and deploy well-crafted and well-tested code in support of a large scale data processing and machine learning platform. Our platform team builds tools, data processing, and machine learning pipelines to support vital segments of the company.
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machine learning natural language processing cutting edge jobs Title: data scientist Company: University Of Wisconsin in New York, NY
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