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Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers. MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. 2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks.
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Coupled with advancements in Artificial intelligence and machine learning the industry is now positioned to serve society as it seeks to reduce carbon emissions and create more supply chain security, and to do so in a more environmentally and socially responsible way than ever before.
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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), youll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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QUALIFICATIONS Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline 8 years of experience in developing business applications for Machine Learning and Data Science workloads.
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You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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A healthcare client of ours in the Philadelphia area is looking for a Machine Learning Engineer to join our Data Science team and help us build, optimize, deploy, and maintain machine learning systems and pipelines in Google Cloud Platform (GCP) production environments for Generative AI and more traditional Machine Learning projects.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Experience with Data Science, Machine Learning and Artificial Intelligence. Primary Duties/Responsibilities: Data Strategy Play an analytical role to define and drive analytics and business intelligence initiatives in the Data Platform team.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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The Data Scientist responsibilities include conducting all the steps of the data mining lifecycle with an emphasis on applying their expertise in math, statistics and building machine learning models.
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The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine Learning / Gen AI engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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machine learning data mining jobs Title: analytics Company: Meta Inc
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