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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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Experience with cloud computing data platforms: e.g., Azure, AWS, Databricks, Snowflake. Hands-on experience in Azure Databricks. Bachelor’s degree in Data Science, Statistics, Computer Science, applied mathematics, machine learning, or a related data centric-technical field.
$108,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build and maintain data engineering solutions on cloud platforms using hyperscaler services (GPC, AWS, Azure). The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
Full-timeExpandApply NowActive JobUpdated 26 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 1 month ago - UpvoteDownvoteShare Job
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2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.
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Stay updated on the latest advancements in machine learning, MLOps, and related fields, and apply new techniques and technologies to improve existing models or develop innovative solutions.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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1-2 years of work experience with Azure, AWS, Google Cloud, or other cloud computing platforms. Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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An elite ensemble of Data Scientists, Machine Learning Experts, and Software Engineers, focused on redefining the OmniCommerce search experience within the expansive retail landscapes of Walmart and Sam's Club. Central to our mission is a deep commitment to Relevance and Ranking, ensuring every search result not only meets the highest standards of precision but also significantly simplifies and enhances the customer journey.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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2+ years of experience developing ML systems in Cloud environments (AWS/Azure), preferably Databricks. Published research or Patents in machine learning, system design or data engineering.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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We are seeking a skilled Software Engineer with experience in design and development of infrastructure using Java, Spring Framework modules, Spring boot, Micro Services, AWS, Kafka, Docker, cloud-based java applications, JSP, Hibernate, Web services (soap and Rest), Maven, Unit Testing (JUnit), MySQL, Oracle, Jenkins, code quality tool Sonar.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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Configure and manage Azure cloud resources to support machine learning workloads efficiently. Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge and hands-on experience with cloud computing platforms, such as AWS, Azure, or GCP. Proficiency in developing both front-end and backend components, with expertise in a variety of programming languages and frameworks (e.g., JavaScript, Node.js, Java, Python.
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machine learning hands on aws cloud jobs Title: engineer Company: Grotech Search in Dallas, TX
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