Lead AI Engineer

Lead AI Engineer 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 considerations Design and implement end-to-end AI solutions, including data acquisition, data pre-processing, model training, deployment, and monitoring Develop and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and security Create design documents, solution artifacts, and technical specifications to guide the development and implementation process Collaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutions Requirements 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 solutions Knowledge 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 DB Experience with Azure ARM templates, PowerShell, and CI/CD using Azure DevOps Experience with preparing data for Data Science and Machine Learning purposes Experience with Azure data, Machine Learning, and Artificial Intelligence solutions Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows Experience 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 solutions Preferred 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 techniques Knowledge of data privacy and security regulations and best practices related to Azure and AI solutions Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders. Azure Solutions Architect certification preferred Syntricate Technologies