Data Science cloud architect

DescriptionJob Title: Data and Cloud ArchitectJob Summary: We are seeking a Senior Technologist with extensive experience in Python backend development, cloud computing with a focus on Azure, data engineering, and Generative AI. The ideal candidate will have a proven track record in building scalable AI products, handling large datasets, and ensuring efficient low latency processing for a high number of concurrent users for GenAI products for the firm and clients.Key Responsibilities:Lead the design, development, and deployment of high-performance, scalable Generative AI solutions.Architect and manage Azure cloud infrastructure, ensuring security, scalability, reliability, and cost-efficiency.Develop and optimize data pipelines to efficiently process large volumes of data, utilizing Azure's data services (such as Azure Data Factory and Azure Databricks).Design and implement data architectures to support large-scale data ingestion, transformation, and storage using Azure services.Collaborate with cross-functional teams to understand product requirements and integrate AI solutions.Implement best practices for GenAI solution development, versioning, and monitoring.Stay updated with the latest advancements in AI, machine learning, data engineering, and Azure technologies.Mentor junior engineers and foster a culture of continuous learning and improvement.Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.10+ years of hands-on experience in Python and cloud platforms, specifically Azure.Strong expertise in key Azure services such as Azure Kubernetes Service (AKS), Azure Functions, Azure Identity and Access Management, and Azure Virtual Networks.Experience with Azure DevOps for building CI/CD pipelines to ensure seamless deployment and integration.Knowledge of Azure Security best practices, including Azure Security Center and Azure Key Vault for secrets management.Expertise in Azure Storage solutions, such as Blob Storage and Azure Cosmos DB, and data processing frameworks like Apache Spark on Azure Databricks.Solid understanding of data warehousing concepts and data architecture best practices Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.Nice to Have:Experience with NLP and Machine LearningContributions to open-source AI/ML projects.ResponsibilitiesJob Title: Data and Cloud ArchitectJob Summary: We are seeking a Senior Technologist with extensive experience in Python backend development, cloud computing with a focus on Azure, data engineering, and Generative AI. The ideal candidate will have a proven track record in building scalable AI products, handling large datasets, and ensuring efficient low latency processing for a high number of concurrent users for GenAI products for the firm and clients.Key Responsibilities:Lead the design, development, and deployment of high-performance, scalable Generative AI solutions.Architect and manage Azure cloud infrastructure, ensuring security, scalability, reliability, and cost-efficiency.Develop and optimize data pipelines to efficiently process large volumes of data, utilizing Azure's data services (such as Azure Data Factory and Azure Databricks).Design and implement data architectures to support large-scale data ingestion, transformation, and storage using Azure services.Collaborate with cross-functional teams to understand product requirements and integrate AI solutions.Implement best practices for GenAI solution development, versioning, and monitoring.Stay updated with the latest advancements in AI, machine learning, data engineering, and Azure technologies.Mentor junior engineers and foster a culture of continuous learning and improvement.Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.10+ years of hands-on experience in Python and cloud platforms, specifically Azure.Strong expertise in key Azure services such as Azure Kubernetes Service (AKS), Azure Functions, Azure Identity and Access Management, and Azure Virtual Networks.Experience with Azure DevOps for building CI/CD pipelines to ensure seamless deployment and integration.Knowledge of Azure Security best practices, including Azure Security Center and Azure Key Vault for secrets management.Expertise in Azure Storage solutions, such as Blob Storage and Azure Cosmos DB, and data processing frameworks like Apache Spark on Azure Databricks.Solid understanding of data warehousing concepts and data architecture best practices Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.Nice to Have:Experience with NLP and Machine LearningContributions to open-source AI/ML projects.QualificationsJob Title: Data and Cloud ArchitectJob Summary: We are seeking a Senior Technologist with extensive experience in Python backend development, cloud computing with a focus on Azure, data engineering, and Generative AI. The ideal candidate will have a proven track record in building scalable AI products, handling large datasets, and ensuring efficient low latency processing for a high number of concurrent users for GenAI products for the firm and clients.Key Responsibilities:Lead the design, development, and deployment of high-performance, scalable Generative AI solutions.Architect and manage Azure cloud infrastructure, ensuring security, scalability, reliability, and cost-efficiency.Develop and optimize data pipelines to efficiently process large volumes of data, utilizing Azure's data services (such as Azure Data Factory and Azure Databricks).Design and implement data architectures to support large-scale data ingestion, transformation, and storage using Azure services.Collaborate with cross-functional teams to understand product requirements and integrate AI solutions.Implement best practices for GenAI solution development, versioning, and monitoring.Stay updated with the latest advancements in AI, machine learning, data engineering, and Azure technologies.Mentor junior engineers and foster a culture of continuous learning and improvement.Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.10+ years of hands-on experience in Python and cloud platforms, specifically Azure.Strong expertise in key Azure services such as Azure Kubernetes Service (AKS), Azure Functions, Azure Identity and Access Management, and Azure Virtual Networks.Experience with Azure DevOps for building CI/CD pipelines to ensure seamless deployment and integration.Knowledge of Azure Security best practices, including Azure Security Center and Azure Key Vault for secrets management.Expertise in Azure Storage solutions, such as Blob Storage and Azure Cosmos DB, and data processing frameworks like Apache Spark on Azure Databricks.Solid understanding of data warehousing concepts and data architecture best practices Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.Nice to Have:Experience with NLP and Machine LearningContributions to open-source AI/ML projects.