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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 23 days ago - UpvoteDownvoteShare Job
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Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties.
$100,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google s Vertex AI, Azure s AI tools, and AWS s Machine Learning services.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Three (3) or more years of experience working with one of the cloud computing environments such as AWS, Azure, Google Cloud, required. Experience with Machine Learning enablement tools such as experiment tracking systems, feature store and similar system, preferred.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., OCI, AWS, Azure, GCP.
$74,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a Lead Machine Learning Engineer who will lead the effort to apply Natural Language Understanding and Processing (NLUP) in Healthcare Technology space. The primary mission of the team continuously ships pragmatic solutions utilizing applied Artificial Intelligence and Machine Learning that deliver value for our Medical Professionals users.
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The Cloud Data Engineer plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms. Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) are a plus. Deliver foundational and strategic security engineering solutions and programs to address cloud implementations (AWS, GCP, Azure.
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Cloud certifications (Associate or Professional level) in AWS, Azure, or GCP. - Experience with cloud migration technologies such as Azure Migrate, AWS Migration Hub, and related tools.
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Join us as a Senior Machine Learning Engineer specializing in Natural Language Processing (NLP), where you will tackle some of the most exciting challenges in the field today. This role involves working with state-of-the-art machine learning and deep learning algorithms, focusing on next-generation AI technologies such as large language models, generative AI, retrieval-augmented generation, LLM agents, and fine-tuning techniques.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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An Engineer with a passion for programming and knowledge in Cloud technologies such as Docker, Kubernetes, in general and AWS specific cloud components such as EC2, EKS, AWS Lamda functions, API Gateway, RDS. Engineer/Developer is expected to provide strategy and implement an enterprise scale service mesh and side car architectures with focus on scalability, performance, security and availability.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Extensive experience in CI/CD pipeline creation, infrastructure automation, configuration management, containerization, and monitoring across multiple cloud platforms (AWS, Azure, GCP, OCI.
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This is a hands-on, technical lead role in the Advisory organization that will develop cloud-native services to support LPL’s overall cloud strategy and migration to AWS. 5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging (SQS, ActiveMQ, RabbitMQ), Caching (Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
ExpandApply NowActive JobUpdated 5 days ago
machine learning aws cloud jobs Title: engineer Company: Grotech Search in Austin, TX
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