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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Minimum of 6 years in engineering, machine learning, deep learning and NLP solutions and applications. Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
$258,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Develop and implement comprehensive data strategies to enhance predictive analytics, data mining, and machine learning models that drive payment accuracy and recovery initiatives.
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The methodological research may include but is not limited to statistical models for integrative deconvolution and machine learning methods for prognosis and therapeutic biomarker development.
$68,604 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes helps companies achieve.
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Document Student Learning Exposure and Outcomes Establish and maintain accurate data that empowers analysis of the support we provide to students, including attendance data, academic data, student forms, and inventory of educational materials and supplies.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. 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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Ability to use In-memory capabilities of Tibco Spotfire, Spark as well as rich Machine Learning applications with easy to use Data visualization of Models using built in TERR (Tibco Runtime R engine) and Revolution R/R Studio.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Trainee shall be trained by an in house instructor for a minimum of 4 weeks and it is up to the instructor to judge when the trainee is ready to operate a grind machine without supervision. Our client provides reconditioning processes utilizing electroplated hard industrial chrome, sulfonate nickel, HVOF, Plasma and Electric Wire Arc thermal spray coatings, cylindrical grinding & honing, phosphate coating, and media blasting for the oil, petrochemical, marine, hydraulic, and manufacturing industries.
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machine learning deep jobs Title: data science in Houston, Lovell, Wyoming
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Many people turn their noses up at bartending jobs, as they do for most jobs in the food service industry. Little do they know, bartenders possess a lot of unique skills. Even though these jobs can require little to no education, bartenders must go through extensive training or schooling. Additionally, the demand for these jobs is extremely high, and the career growth opportunities often bring bartenders into management positions after years of experience.