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Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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Job DescriptionJob DescriptionFocusKPI is looking for a NLP Data Scientist intern to work for our companys internal projects. We are building a state-of-the-art SaaS platform designed for business users to streamline their daily work and unlock new opportunities through AI.As an NLP Data Scientist, you will develop and refine our Large Language Models tailored for business applications.
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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.
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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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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Leverage computer vision and NLP to enhance our product's ability to interpret and understand visual and textual data.
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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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Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus. Skills: Data Science, Deep Learning, NLP, R Python etc. Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus.
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Experience building ML/NLP models in Azure Databricks and RStudio. This includes delivery of BI dashboards, ML models and Natural Language Processing (NLP) solutions to enable data science functions.
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Experience with Natural Language Processing (NLP), Large Language Models (IMs), and/or Recommendation Engines. Proficiency with data visualization tools (D3 js, R Shiny, Looker, Streamlit, or similar.
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Job Title:- Data Scientist (Remote - Boston, MA) Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
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Strong background in machine learning and deep learning, with practical experience in developing and deploying NLP models using frameworks such as TensorFlow, PyTorch, or similar. Develop and implement state-of-the-art NLP models using deep learning techniques, including recurrent neural networks (RNNs), transformer models (e.g., BERT, GPT), and sequence-to-sequence architectures.
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As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and Al solutions. Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.
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Experience with cloud computing platforms and tools (AWS, GCP, or other). Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and Al technologies and tools that can boost team performance, innovation and business value.
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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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