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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Regularly interact with the team to reinforce machine learning and data concepts, and guide them in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure). Specialist in signal processing, fluid dynamics, machine learning on IoT devices, and/or anomaly detection within sensor networks.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Apply various Machine Learning (ML) and analytics techniques to develop classification and prediction models and leverage foundation models to develop generative AI capabilities; integrate client, domain (e.g., finance, sales) and industry knowledge into the solution.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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Contributing to the continuous improvement of our cybersecurity strategies through innovative data science approaches, staying abreast of the latest in machine learning and cybersecurity trends.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Proven experience in data science, machine learning, or a related role, with a strong preference for experience in cybersecurity. Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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Familiarity with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming). Designing, developing, and implementing machine learning models to improve cybersecurity measures, including but not limited to intrusion detection systems, malware analysis, and fraud detection, user behavior anomaly detection.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Seeking a Data Engineering and Machine Learning Ops Manager to join our growing Data and Analytics team. Adept at utilizing Google Cloud Functions for serverless computing and building RESTful APIs for seamless data integration.
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big data science machine learning google cloud jobs Company: Comcast
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