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Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms. Fluency in a programming language (Python, SQL, SOLR) Master's degree or equivalent experience in Computer Science, Data Science, and Bioinformatics field.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models.
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DE designing and implementing large scale data science projects, Artificial Intelligence (AI) and Machine Learning (ML) models and interfaces using Spark, Tensorflow, Python data science libraries, and Deep Learning (DL) frameworks on Amazon Web Services (AWS) and On-premise computing environments; developing cutting-edge investment tools and strategies using Natural Language Processing (NLP), Large Language Models (LLM), Neural Networks, and Supervised and Unsupervised Learning algorithms.
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Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP). In this role, you will collaborate with cross-functional teams to develop cutting-edge data science solutions using machine learning and artificial intelligence.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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To do so, this expert will use a mix of statistics, machine learning, deep learning and LLMs to derive meaning, build models and create systems that capitalize on both structured and unstructured data.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue). Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Title: Data Scientist with (LLM and Deep Learning) Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong expertise in NLP/NLU with focus on deep learning models and open source LLMs such as Llama 2, Falcon etc. Proficiency in programming languages such as Python and experience with NLP libraries/frameworks like spaCy, NLTK, Hugging Face Transformers and Generative AI and LLM frameworks.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The qualified candidate should have a good understanding of machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions.
$38.45 - $87 an hourInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Helped build machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications.
$120,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
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Experience with Deep Learning Frameworks (TensorFlow, PyTorch, Keras) You have experience developing solutions to machine learning & NLP problems involving some or all of the following parts of the pipeline: data extraction, developing and training machine learning models, integrating the model into production applications.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago
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