Lead design and architecture of Generative AI solutions on Azure and OpenAI, build end-to-end data pipelines and cloud infrastructure, produce solution blueprints, collaborate with stakeholders, and implement data preprocessing, API deployment, monitoring, and analytics delivery.
We are seeking a Data Architect to lead a Generative AI initiative. The ideal candidate will have a deep understanding of Azure services and capabilities, and experience with architecting and implementing solutions using Azure. They must also possess knowledge of Python, APIs and machine learning frameworks.
Responsibilities
- Design and architect 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 preprocessing, prompt engineering, API deployment, and monitoring
- Architect and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and security
- Develop architectural design documents, solution blueprints, 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/ML.
- Experience with OpenAI technologies, such as GPT-3, GPT-4 reinforcement learning, or computer
- 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
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
