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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python.
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Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. Minimum Qualifications, Knowledge, and Skills Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
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Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
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A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
Full-timeWork from homeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
$206,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). As a Senior Customer Engineer, you will support the Google Cloud Sales team and drive goals, mission, and strategy around Google Cloud AI/ML solutions that aid in a customer’s migration and transformation.
$214,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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An exciting remote telework opportunity, to work as a Sr. Machine Learning (ML) Engineer who will be responsible for research, development, implementing, and deploying machine learning models and algorithms to solve a wide range of cyber analytical challenges.
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The MLOps Engineer assists in defining and implementing best practices and leverage their prior engineering, data science, and machine learning experience to build and maintain Mercys ML platform and infrastructure.
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Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions. We are seeking a highly skilled and experienced Sr. Machine Learning Engineer to join our dynamic Data Science and AI team.
$85 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes.
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If you're a seasoned machine learning engineer with a passion for innovation and a track record of delivering impactful solutions, we want you on our team. Position Overview: As a Senior Machine Learning Engineer, you'll play a pivotal role in developing and deploying machine learning models and systems that power our products and services.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Comfortable with machine learning, deep learning and big data (EMR) paradigms. Machine Learning Engineer. Experience migrating on-site solutions to cloud-based offerings, such as AWS/Google Cloud.
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You will help design the data science programs, machine learning models, and architecture to support Generative AI. You must have practical experience working with large data sets preferably in website lead generation & search engine marketing, SaaS, or cloud computing domains.
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