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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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We are looking for 3 to 5 years of experienced Machine Learning Engineer with a strong background in data science, machine learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) technology.
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As a Machine Learning Engineer, you will lead our data-driven initiatives, focusing on developing advanced ML models, leveraging NLP techniques, and utilizing LLM technology to extract actionable insights from our diverse data sets.
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Major focus on data science, data visualization, artificial intelligence and machine learning. As a Data Solution Architect you will be expected to take an architecture management role on our client’s solution delivery engagements, with high levels of customer engagement.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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As an AI/ML Solution Architect, you will collaborate with cross-functional teams, design and lead end-to-end AI and machine learning solutions that leverage cloud data architectures.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Previous experience in areas like computer-aided design, statistical testing, modeling and mathematical optimization, and/or machine learning.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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The ideal candidate will possess expertise in GIS, remote sensing, spatial analysis, Machine Learning, and Artificial Intelligence (AI) along with a robust background in Geospatial Science, Computer Science, or a related discipline.
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5 years of work experience as an Embedded Software Developer; Software Developer; Embedded Release Engineer; Computer Engineer; Computer Programmer or combination; and.
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Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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