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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, or a related field.
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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Experience with HuggingFace Transformers and other open-source NLP and NLG (natural language generation) modules (ex.
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Demonstrate experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm. Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc.
$104,000 - $150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Computational genetics/genomics, including skills in clinical informatics, genomic data science, multi-omic analyses, biostatistical methods and analysis, machine learning, artificial intelligence, reproducible pipelines, high performance cloud computing, Python, R, and/or other computational language coding.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Proficient programming skills such as Python, R, SQL, C/C. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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DE conducting statistical analysis using Python, R or SAS, and using Python (Pandas, Numpy, Selenium, APIs), Alteryx to automate manual data workflows. Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. (Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client; Reporting, Dash boarding; Client tools H2O, Tensor Flow, Prediction.io; Distributed Data Platforms HDFS, Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
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machine learning natural language python r jobs Company: Synch Solutions
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