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Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs. The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid’s Luxury brand.
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We use the best machine learning techniques to simplify product discovery for animal lovers looking for their pet needs on Chewy.com. Our outstanding multi-disciplinary team of data scientists, data engineers, software/front-end engineers, and product managers work together to power personalized recommendations and search for pet parents.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Azure PaaS (App Service, API Management, Functions, Logic Apps, Table Storage, Redis Cache, Azure AD, Notification Hubs, IoT and Event Hub, Stream Analytics, Cognitive Services, Machine Learning, Service Bus, Queues, Search, Application Insights, CDN.
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As a part of the Center of Excellence for Data-Driven Discovery in the Department of Structural Biology at St. Jude Children’s Research Hospital, the Babu Group seeks a highly driven, full-time Postdoctoral Research Associate to develop computational pipelines and machine learning approaches to quantify obesity risk and predict its effects by leveraging large-scale omics data.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video, and geo) across 500+ languages and dialects.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques.
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Deploy, test, validate, and maintain machine learning models in production by collaborating with data engineers and machine learning engineers. Solid knowledge of statistical methods and machine learning fundamentals.
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Perform exploratory analysis, construct data pipelines, build machine learning & deep-learning models end-to-end from POC to deployment for large scale production systems. Proficiency in machine learning, NLP & deep learning techniques for tasks involving Named Entity Recognition, document/sentence embeddings, classification.
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Develop and recommend process standards and best practices in Machine Learning as applicable. Developing Prediction systems and machine learning algorithms. Build predictive models and machine-learning algorithms.
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Working understanding of AWS data tools including: AWS Glue, Amazon QuickSight, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Kinesis, Amazon Athena, and Amazon Bedrock. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Tensorflow, Pytorch, etc.
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You will work with researchers at the University to apply artificial intelligence (AI), machine learning (ML), and deep learning (DL) to the researchers data. Stay current on the latest developments in AI and machine learning.
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This role is responsible for planning and executing on key data engineering initiatives spanning our work in artificial intelligence, machine learning, search, natural language processing and product analytics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems.
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