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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Work with business owners, product managers and other stakeholders to determine and refine objectives for AI, Machine Learning (ML) and analytic processing solutions to address business problems.
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About the Laboratory We are seeking postdoctoral fellow applicants with interest and experience in computational approaches and machine learning for use in quantitative measurement of human behavior.
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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.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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We welcome candidates from all areas of computational genomics employing a spectrum of methodologies, spanning from computational biology to statistical genetics to machine learning and artificial intelligence.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Collaborate with baseball subject matter experts in scouting, development, biomechanics, machine learning, decision science, and more, integrating their expertise into player evaluation models.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Proficiency with Databricks/or equivalent, including integrating machine learning models into Databricks workflows. Proficiency in Python programming language, Java and libraries, with a focus on its application in machine learning development & deployment.
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You are curious and eager to work across a variety of engineering specialties (i.e., Data Science, Data Engineering, and Machine Learning to name a few). You have a product mindset to understand business needs and develop scalable engineering solutions.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Training in data analytics, statistical methods, and machine learning w/ Python, R, Keras, TensorFlow and/or similar tools. for predictive modeling, machine learning, and other data science techniques.
$138,300 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago
machine learning jobs Title: product manager in Philadelphia, CA, Us
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