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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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Jump-start your career as an Assistant Vice President (AVP) Machine Learning Engineer today with Work from Home. Come join our team as an AVP Machine Learning Engineer. If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Assistant Vice President Machine Learning Engineer opening.
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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. Knowledge of machine learning algorithms and techniques.
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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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We're looking to hire a Solutions Architect Artificial Intelligence/Machine Learning to join our team. A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Provide support to facility users and staff; Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Architect and manage robust machine learning pipelines and workflows using CI/CD practices, primarily utilizing Terraform. Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks. Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities. Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
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machine learning jobs Title: learning architect Company: Optello
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