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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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The Mandarin Teaching Fellow will float between Mandarin classes and assist the lead teacher to create an environment where learning is a joyful and rewarding experience that maintains the integrity of each child’s imagination and natural curiosity.
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WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required qualifications Bachelor's in Computer Science, Engineering or equivalent experience 4+ years of knowledge in at least one programming language (e.g. Python, Java, Golang) 4+ years of experience with developing and deploying distributed cloud systems and services in multi-cloud environments - AWS, Azure, or Google Cloud.
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Our multi-disciplinary consulting services include civil engineering, environmental services, natural resources, landscape architecture, industrial hygiene, and land surveying in both the private and public sector.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Experience with data processing frameworks (e.g. Spark, MapReduce, AWS EMR.
$150,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Professional security certifications related to cloud security (e.g., AWS Certified Security Specialty, CISSP, CCSP) are desirable. Manage and configure cloud security services, including but not limited to AWS Identity and Access Management (IAM), Security Groups, VPCs, CloudTrail, and AWS Config.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Develop cutting-edge, end-to-end data-driven solutions using a diverse range of machine learning approaches, including supervised, unsupervised, clustering, NLP, computer vision, and ranking.
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Certifications (e.g.: Kubernetes and Cloud Native Associate (KCNA), AWS Developer Associate, AWS Sysops Administrator Associate, AWS Solution Architect Associate, etc.) Strong working knowledge of leading AWS cloud security practices.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with Microsoft Azure, AWS, or Google Cloud Platform. We are looking for a senior machine learning engineer who wants to join our mission and be an early part of building our AI-powered platform at the intersection of machine learning and life sciences discovery.
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The candidate should have knowledge of cloud formation templates, API development, Kafka or other Pub/Sub event streaming, containerization with Kubernetes and Docker, and CI/CD pipelines using tools like GitHub Actions, Azure DevOps, or Jenkins.
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Experience with machine learning frameworks, NLP Libraries and Tools. PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field.
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Develop and implement machine learning algorithms along with scalable data processing and machine learning pipelines to solve business problems. As a Principal Scientist/Machine Learning Engineer you will play a pivotal role in shaping the future of our innovative projects.
$260,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Outside processing knowledge (heat treat, plating, coating, EDM, grinding, etc.) Outside processing knowledge (heat treat, plating, coating, EDM, grinding, etc.) Extensive experience with Okuma, Fanuc, and other CNC controls.
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machine learning natural language processing google cloud jobs Company: Agile Loop in Seattle, WA
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