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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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2+ years experience implementing data solutions on the Databricks Data Intelligence platform, to include Delta Lakes. As a Senior Consultant in our AI & Data team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies. Implement approved actions and workarounds to minimize the impact of risks on the project.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
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Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve. Recruiting for this position will end on 5/31/2024. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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3 to 5 years of hands-on development experience in Machine Learning System. Using AWS services: Deploy the models in SageMaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes.
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3+ years of experience creating and maintaining infrastructure at scale, on top of AWS or Google Cloud. A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with Cloud Enterprise, authorizing cloud systems, and Cloud services, including AWS, Azure, or GCP.
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Skills Required: Python Machine Learning Scala Apache Spark Reinforcement Learning AWS. About the Job: I am representing an innovative and rapidly growing company that is seeking a highly skilled Machine Learning Engineer.
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machine learning on aws cloud jobs Title: data engineer Company: Grotech Search
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