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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.
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As a Machine Learning Engineer, you will work as part of a team to assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
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Cricket Wireless is seeking an experienced Senior Software Engineer with Machine Learning and Artificial Intelligence (ML/AI) skills to join our Data Acquisition & Enablement Services (DAES) organization responsible for our Data Warehouse & Business Intelligence Platform (DW/BI), as well as the Customer Data Platform (CDP) supporting personalized experiences for customers across all channels.
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Experience with public cloud environments (AWS, Azure, GCP), preferably experience with Google Cloud services like Bigquery, GCS, Cloud Composer, PubSub. Experience with big data tools: Hadoop, Spark & Kafka Streaming, Python, Scala, Talend etc.
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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc. Knowledge of modern cloud-native application design principles, DevSecOps, Infrastructure as Code (IaC), CI\CD Pipelines, Microservices, Containers, etc.
$175,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Position Objective: Seeking a Machine Learning Engineer to join our innovative team with CDC/DMAC (Data Modernization Accelerator at CDC). Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security.
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Our expertise in transforming IT infrastructure, driving innovation with AI and machine learning, and turning data into actionable insights sets us apart in the industry. Experience: 5-8 YOE Location: Fully Remote but must be located in CONUS Company Overview: At JR Software Solutions, we are a leading consulting firm specializing in Cloud Data and AI/ML solutions, proudly serving government and Fortune 500 clients.
$110,000 - $130,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Keywords: Golang, Web Application, Backend, Gin, Go kit, Java, Spring Boot, MySQL, PostgreSQL, MongoDB, Cassandra, CI/CD, Docker, Kubernetes, Communication, Collaboration, Teamwork, Learning, Growth, Agile (optional), Big Data (optional), Apache Spark (optional), Hadoop (optional), Google Cloud Platform (optional), Cloud Functions (optional), Cloud Run (optional), Cloud SQL (optional), Cloud-Native (optional.
$200,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage artificial intelligence (AI) and machine learning (ML) techniques to optimize the architecture and enable data-driven insights and decision making. Proficiency in major cloud platform services such as Microsoft Azure, Google Cloud or Amazon Web Services.
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Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud). 5+ years of experience in data science, machine learning, or related fields, with a proven track record of leading successful data science projects from inception to delivery.
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Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
$152,000 - $206,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud security, including AWS, Azure, or Google Cloud Platform, with specific expertise in Azure Government Community Cloud (GCC) High environments. Excellent communication (written and oral) and leadership skills YOU BRING (EXPERIENCE & QUALIFICATIONS) Preferred certification in one or more Information Security relevant areas such as, Security Professional (CISSP), Cloud Security (CCSP, CCSK) Minimum of 8 years of information security experience, with a strong background in cloud native infrastructure, network security, security applications and technologies.
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Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Familiarity with big data tools such as Spark, or similar technologies. Strong background in machine learning, statistical modeling, and data mining.
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big data machine learning engineer google cloud jobs Title: machine learning engineer in Atlanta, GA
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