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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. , querying infrastructure as well as data compliance, quality and governance.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Experience in data governance, data security, and data privacy principles or technologies: data discovery, tagging, classification, and inventory; data obfuscation techniques (encryption, pseudonymization, tokenization); data anonymization; data access control design and implementation / identity and access management (IAM); data encryption; data recovery, data loss prevention; scanning and alerting.
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Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. Role & Responsibilities Rubrik is actively recruiting for a Senior Director for Governance, Risk & Compliance (GRC), reporting directly to the Vice President & Chief Information Security Officer.
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Minimum of 5 years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work will be done on various multi axis CNC lathes, screw machines and other machine tools including lapping, grinding, deburring for part detail. Operate CNC lathe machines to produce parts and tools from metal, plastic, or other materials, including the Programming when possible, the setup and running of various machine jobs.
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The use of Supervisor Control and Data Acquisition (SCADA) systems, Human Machine Interface (HMI) systems to monitor, adjust, and evaluate plant process control parameters to meet performance targets and meet or exceed effluent water quality goals for NPDES compliance.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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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.
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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning techniques and their associated challenges for data pipeline engineering. Coordinate with experimentalists, research scientists, and machine learning engineers to accelerate and facilitate the workflows for large-scale neuroscientific data analyses and foundation model training.
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Responsible for database setup, configuration and management cloud data pipeline integration, big data governance, data security, and for connecting users with self-service access, and responsible to use Database clustering tools and techniques to analyze performance and help others to optimize data queries.
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Education, Experience, and Certifications:Bachelor's degree preferred with seven to ten years of global security governance and compliance experience with at least five years in a security operations or GSOC operations management position or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company.
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data governance machine jobs Company: Wex in Stanford, CA
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