Syntricate Technologies
Lead AI Engineer
Syntricate Technologies, Norfolk, Virginia, United States, 23500
Lead AI Engineer100% Remote12+ MonthsWeb Cam Interview
$70/hr on W2 or $75/hr on 1099
Job Summary
We are seeking an AI Engineer to work on an AI initiative to join our team.The ideal candidate will have a deep understanding of Azure services and capabilities, and experience with architecting and implementing solutions using Azure, including Azure Open AI. They must also possess knowledge of Python, and machine learning frameworks.Responsibilities
Develop solutions that leverage Azure services and OpenAI technologies to address complex business problems and deliver innovative AI-powered applications.Evaluate and recommend appropriate Azure services and OpenAI technologies based on project objectives, scalability, performance, and cost considerationsDesign and implement end-to-end AI solutions, including data acquisition, data pre-processing, model training, deployment, and monitoringDevelop and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and securityCreate design documents, solution artifacts, and technical specifications to guide the development and implementation processCollaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutionsRequirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Minimum of 5 years' experience with large-scale data and analytics solutionsKnowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics, and Azure SQL DBExperience with Azure ARM templates, PowerShell, and CI/CD using Azure DevOpsExperience with preparing data for Data Science and Machine Learning purposesExperience with Azure data, Machine Learning, and Artificial Intelligence solutionsAbility to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flowsExperience with different database technologies including relational and non-relational.Experience with exposing data to end-users via Power BI, Azure API Apps.Experience in turning business use cases and requirements into technical solutionsPreferred Qualifications:
Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in data and AI/Client.Experience with Azure Cognitive Services and OpenAI technologies, such as GPT-3 and GPT-4, prompt engineering techniquesKnowledge of data privacy and security regulations and best practices related to Azure and AI solutionsAbility to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.Azure Solutions Architect certification preferred
$70/hr on W2 or $75/hr on 1099
Job Summary
We are seeking an AI Engineer to work on an AI initiative to join our team.The ideal candidate will have a deep understanding of Azure services and capabilities, and experience with architecting and implementing solutions using Azure, including Azure Open AI. They must also possess knowledge of Python, and machine learning frameworks.Responsibilities
Develop solutions that leverage Azure services and OpenAI technologies to address complex business problems and deliver innovative AI-powered applications.Evaluate and recommend appropriate Azure services and OpenAI technologies based on project objectives, scalability, performance, and cost considerationsDesign and implement end-to-end AI solutions, including data acquisition, data pre-processing, model training, deployment, and monitoringDevelop and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and securityCreate design documents, solution artifacts, and technical specifications to guide the development and implementation processCollaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutionsRequirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Minimum of 5 years' experience with large-scale data and analytics solutionsKnowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics, and Azure SQL DBExperience with Azure ARM templates, PowerShell, and CI/CD using Azure DevOpsExperience with preparing data for Data Science and Machine Learning purposesExperience with Azure data, Machine Learning, and Artificial Intelligence solutionsAbility to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flowsExperience with different database technologies including relational and non-relational.Experience with exposing data to end-users via Power BI, Azure API Apps.Experience in turning business use cases and requirements into technical solutionsPreferred Qualifications:
Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in data and AI/Client.Experience with Azure Cognitive Services and OpenAI technologies, such as GPT-3 and GPT-4, prompt engineering techniquesKnowledge of data privacy and security regulations and best practices related to Azure and AI solutionsAbility to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.Azure Solutions Architect certification preferred