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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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R & D Tax Credit IT Manager - Business Tax Services - Federal Tax Advisory EDGE STEM (Open Location)
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As an EY IT Manager, you will engage in discussions on the development of discuss new innovative software applications including areas such as software architecture design, Artificial Intelligence (AI) and Machine Learning (ML), cybersecurity, Blockchain and Distributed Systems, telecommunication, cloud computing and virtualization, data science and big data, and other high-tech fields with a host of industry leaders.
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Experience or interest in data science, machine learning, artificial intelligence, wireless communications, sensors, semiconductors, Internet of Things, Ior related fields. Receive training and development that could lead to becoming a licensed patent agent by the United States Patent and Trademark Office (USPTO.
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Motivated individuals who are looking for a career path to becoming a licensed patent agent with the United States Patent and Trademark Office (USPTO). Patent Specialist - IP PatentsLocation: Atlanta, GA | Charlotte, NCAn AmLaw 50 international law firm's Intellectual Property – Patents Group is looking for a Patent Specialist with a background in computer science or electrical engineering.
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Our Data Science Intern will be responsible for working on data science projects that drive strategic business objectives. Knowledgeable in Prescriptive Modeling like Machine Learning, Deep Learning, Recommendation, Search, or NLP.
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Strong background in machine learning, statistical modeling, and data mining. 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Keywords: PLC Automation, Project Engineer, Industrial Automation, Systems Integrator, Electrical Engineering, Mechanical Engineering, Computer/Software Engineering, Rockwell Automation, Siemens, VFDs, Motion Control, Manufacturing Information Systems, Industrial Networks, Machine Vision Systems, Data Collection Technologies.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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Bring data and market signals back to the PDMs and PDS builders to ensure we are prioritizing the right sales plays and solutions with our Partners. Amazon Web Services (AWS) is looking for a world class partner leader to drive enterprise digital transformation initiatives with strategic technology partners in the Artificial Intelligence/Machine Learning Sector.
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Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer with a focus on deploying Generative AI-based solutions in production environments. Proficiency with modern data science tools and frameworks such as PyTorch, TensorFlow, JAX, Scikit-learn, and Keras.
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The Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team. This role will report to the Global Data & Analytics Director to maintain full alignment with the different Center of Excellence Data teams.
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