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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with at least one of the leading public cloud data platforms (Azure, AWS or Google Cloud) Data processing programming using SQL, DBT, Python, and similar tools.
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying scalable applications in a cloud environment. Proficiency in backend programming languages such as Python, Ruby, Java.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The role will work directly with infrastructure teams and potentially face off with portfolio managers, application developers, quantitative analysts, data scientists and infrastructure teams by functioning as both a solutions architect, helping them implement their own solutions in Google Cloud Platform, and as a professional services engineer, implementing solutions for them in Google Cloud Platform.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, and Paypal, western union, Client, visa, Walmart labs, etc., to name a few.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Basic understanding of cloud services (AWS, Azure, Google Cloud). Proficiency in programming languages such as Python (numpy, pandas, scikit-learn, TensorFlow, Matplotlib, Leras) or R (dplyr, ggplot2, caret, xgboost.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud services (AWS, Google Cloud, etc.) Proficiency in programming languages like Python, R, or Scala. The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong knowledge of machine learning models, statistical modeling techniques, and data mining. Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
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Title : Machine Learning Engineer. Stay up to date with the latest advancements in machine learning and artificial intelligence. Requires a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field.
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Cloud Computing: Experience with cloud platforms such as AWS, or Google Cloud. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn.
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Certifications: AWS Certified DevOps, Azure Administrator / Azure DevOps, Google Cloud Engineer; Experience with cloud solutions (Azure, AWS, GCP), Azure AD, Azure WVD, ARM templates, Kubernetes, Containers, Terraform, Azure DevOps, Python, React (5+ years.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Practical experience with at least one of Microsoft Azure, Google Cloud, or AWS. We work closely with Amazon, Microsoft, Google and other world-class cloud partners to optimise Ubuntu for their infrastructure.
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Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.
$167,000 - $256,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud platforms and services like AWS, Azure, or Google Cloud Platform. Back-End Development: Design and develop server-side components and APIs using programming languages such as Java, JavaScript/TypeScript (Node.js) or Python.
Full-timeExpandApply NowActive JobUpdated 3 months ago
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