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Lead role in exploring solutions across multiple cloud vendors (AWS, Azure, GCP, Snowflake) Strong expertise in generative AI techniques for summarization, Chatbot and data embedding using AWS, Microsoft Azure Open AI and other open source LLM models.
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Strong experience in ML model deployments, AWS SageMaker Studio, GenAI Models, LLM vector stores, LLM observability etc. AWS Certified Solution Architect – Professional (and/or) AWS Certified Machine Learning Specialty.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Utilize programming languages like Go, Java, JavaScript, Vue. JS, Angular, React, HTML/CSS, and SQL, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Lead role in exploring solutions across multiple cloud vendors (AWS, Azure, GCP, Snowflake) Works independently on complex application/technical problem identification and resolution and prototype the alternate solution.
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Manage cloud-based data solutionsutilizing AWS services like EC2, S3, IAM, SQS, SNS, Lambda, and Step Functions. As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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4+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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AWS Cloud Practitioner foundational certification and additional AWS associate or professional level certifications. Heavy experience with AWS but not looking for AWS Engineer or Cloud Engineer.
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Maintain ALS system infrastructure (storage, compute, network) leveraging on-premise and AWS cloud platforms. At least 5 years of these years of experience must be in litigation support applications and application software, e.g., Oracle, Relativity, iPro, Concordance, Trial Director, other web hosting platforms, etc.
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Minimum of 2 years of professional experience in cloud computing, focusing on major platforms like AWS, Azure, or GCP. Additionally, experience in container orchestration with Kubernetes is highly desirable.
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5+ AWS Cloud Experience ( Production Grade) We’re in search of an experienced Logistics Specialist 10 -12 years’ experience in AWS and 3 years of experience in Snowflake Architecture.
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10+ years in security and/or risk assessment/management related fieldHands on experience with testing frameworks such as the PTES and OWASPApplicable knowledge of Windows client/server, Unix/Linux systems, Mac OS X, VMware/Xen, and cloud technologies such as AWS, Azure, or Google CloudIn-depth knowledge of security concepts such as cyber-attacks and techniques, threat vectors, risk management, incident management etc.
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Familiarity with cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Familiarity with cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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Familiarity with data visualization and reporting tools like Tableau or Power BI.Knowledge of cloud-based data integration solutions like AWS Glue or Azure Data Factory. Familiarity with data visualization and reporting tools like Tableau or Power BI.Knowledge of cloud-based data integration solutions like AWS Glue or Azure Data Factory.
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