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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Master s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.
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Role: Machine Learning Engineer. Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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The Reservoir Engineer IV - Machine Learning will perform and lead reservoir engineering technical work for the Permian Business unit working on projects including quantifying reserves and resources and providing reservoir engineering support for efficient development of Civitas’s Permian Assets.
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Experience with Deep Learning methods in NLP & computer vision, sentiment analysis, topic modeling and graph theory and databases. Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Assist in the design, development, and implementation of machine learning algorithms and models to solve specific business problems or improve existing processes. Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions, solve business problems, and create value by leveraging client data.
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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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Your Job Georgia-Pacific is looking to hire a Learning & Development Leader to support Georgia-Pacific manufacturing facilities across the United States. Experience managing full cycles of curriculum design including facilitator user guides, participant workbooks, presentation decks, eLearning, videos, job aids, and other learning collateral.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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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 designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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machine learning computer science jobs Company: Aptask in Dallas, Anoka, Minnesota
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