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Google Cloud Professional Machine Learning Engineer certification. The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform.
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Experienced in Cloud platforms (AWS, Azure, Google Cloud) and skilled in working with various databases and data warehouses for efficient data processing and storage.
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Staff Software Engineer (Data & Machine Learning Operations) Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group.
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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Design and develop well architected web applications, 3-tier client-server systems, back-end processing, data pipelines, genomic pipelines and APIs (i.e. REST APIs) for predominantly on-premises, and Azure, AWS cloud environments with application security and data privacy including Authentication, Authorization and Access Control.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Summary: Senior Software Engineer with over 6 years of experience in the design, implementation, and optimization of complex, secure, cloud-based software solutions in AWS, Google Cloud Platform, and Azure.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
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At least 2 year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) GEICO'S - Data Movement team of Data, Security & Infrastructure (DSI) department is seeking a highly motivated Senior Software Engineer to start or continue an IT career at GEICO on the GEICO Data Hub Telematics Project.
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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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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. For Data Science/Machine Learning Positions. Machine Learning Engineers.
$150,000 a yearRemoteExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, and data visualization tools. That’s why, since 2010, we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, etc.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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machine learning software engineer data processing google cloud jobs Company: Continua
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