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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Experience working with Google Cloud, AWS / AWS AI and ML, AWS Lambda, Amazon Lexbots, and Microsoft Azure.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in machine learning, artificial intelligence, and cloud technologies. Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure.
$70 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficiency in MLOps using Aure, Azure ML, ADF, Databricks, Google Cloud, or AWS. The ideal candidate will have a strong background in predictive modeling, machine learning, and statistical modeling, with a keen interest in applying these skills to influence company-wide strategy and operations.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products, including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
$257,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with machine learning frameworks and tools (e.g., Azure, Databricks, Google Cloud) Proven experience in data science, machine learning, and AI. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong proficiency in machine learning, modeling, algorithms, and knowledge extraction. Develop and implement machine learning models to improve targeting, personalization, revenue generation, and operational efficiencies.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in cloud computing platform and associated automation patterns and machine learning services they provide. Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience building LLM workflows using cloud services such as Azure, Google Cloud, and AWS. Support the custom development and implementation of proprietary Machine Learning, LLM and AI enabled products, including the selection and engagement of solutions partners, development of grounding, RAG, vectorizing, and related technical protocols and procedures.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarity with public, private, and hybrid cloud architectures, as well as expertise in crafting cloud-native solutions on one or more of the following platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP), or IBM.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data engineering for large-scale machine learning on Cloud preferably google cloud- BigQuery, BigTable, GCS, Dataflow, Dataproc (Spark) Partner with Analysts and Data Scientists on delivering reliable data that powers machine learning models for Personalized recommendations.
Full-timeExpandApply NowActive JobUpdated 7 days ago
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