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Experience with natural language processing, text mining, or machine learning techniques. Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Employ frameworks like Spark and Hadoop for in-depth data processing, creating visualizations using Tableau, Microsoft Power BI, and R Shiny. As a Data Scientist , you will be at the forefront of designing, implementing, and maintaining data pipelines by interpreting and analyzing complex data sets, planning and executing machine learning (ML) projects, and leveraging methodologies such as data mining, natural language programming, and machine learning.
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Extensive proficiency in data engineering, processing, and modeling techniques using platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Python, React, R, Agile Development, Git Operations, GIT, data modeling, data model, data models, data modeled, data modeling, cleared, clearance, secret, top secret, top-secret, TS-SBI, TS-SSBI, TS/SBI, TS/SSBI, TS, TS/SCI, top secret/sci, TS-SCI, data engineering, data engineers, Databricks, IBM Cloud Pak, Cloudera, Snowflake, datasets, data set, datasets, Tampa, Tampa FL, FL, Florida.
$125,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition. Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark.
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Experience with computer vision or natural language processing a plus. Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or OozieExtract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies.
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Drive strategic features for Data Management leveraging Machine Learning, and natural language processing (NLP). Prior experience in solutions/consulting with data integration, Spark, is a must.
$121,800 - $228,700 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Natural language processing, computer vision, personalization and recommendation, anomaly detection) Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling. Expertise in Python, SQL, Spark.
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Natural Language Processing: Knowledge and experience developing end-to-end NLP methodologies for sentiment analysis, text classification, topic modeling. 1+ years of experience in Natural Language processing methodologies.
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge and experience with NLP (Natural Language Processing) libraries within Python. Experience with big data technologies such as Spark and TensorFlow is a plus. Implement and deploy scalable solutions for data processing, model training, and evaluation.
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The ideal candidate will have a passion for deriving actionable insights from complex datasets and a strong background in machine learning (supervised, semi-supervised & unsupervised), statistical analysis, and data visualization.
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Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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