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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/Recommendation System/Advertising Algorithm/NLP/CV.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
$149,859 - $213,915 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use data mining and machine learning algorithms to provide insights into historical and real-time data for applications such as anomaly detection, classification, and pattern recognition.
$35 - $46 an hourPart-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
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Experience working as an economist alongside or embedded in engineering roles (machine learning engineers, data scientists). Work with a team of high-performing data science professionals, machine learning engineers and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.
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Skilled in use of Python, SQL, Spark or other data management/manipulation tools · Passion for coaching and mentoring software developers and machine learning engineers. The Adobe Experience Platform (AEP) Architecture team is looking for a Principal Scientist, Machine Learning to help us both architect and build new intelligent features for our platform.
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Data science, machine learning, optimization models, Master's degree 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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We are an innovative health technology startup that integrates wearable technology, biomedical testing, and machine learning to provide proactive and personalized health solutions. Experience with AI and machine learning frameworks (TensorFlow, PyTorch) and their integration into software platforms.
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As a Senior Machine Learning Engineer at Carta, you'll spend a third of your time partnering with domain experts across the company to analyze and explore Carta's proprietary document repository and data set.
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You'll be part of Apple’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more.
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Education PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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Lumentum optical source portfolio is also well suited to emerging applications such as AI/machine learning networks and Lidar sensing. Experience with SQL database management, Matlab, JMP.
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Formal AWS training or advanced AWS certifications demonstrating deep knowledge of AWS Compute, AWS Relational database Systems, No Sql databases, Memory processing, server less designs, orchestrations & data streaming ( Kafka or Kinesis.
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We are looking for someone with a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization.
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