Not Applicable
Product Innovation
Senior Associate
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Senior Associate GenAI Software Engineer (PwC US)
PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer, you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering, with a focus on GenAI technologies, and possess a solid understanding of programming, event-driven architectures, containerization, and data lakes.
Minimum 3 years of hands-on experience building applications with Python.
Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, with a strong understanding of various components and systems architecture patterns to make cohesive and decoupled, scalable applications.
Familiarity with Python web frameworks (Flask, FastAPI) for building web applications around AI models.
Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc.,).
Familiarity with cloud-native development patterns and tools (e.g., REST APIs, microservices, serverless functions).
Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar).
Strong proficiency in Git for effective code collaboration and management.
Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms.
Experience with LLM frameworks or tools for interacting with LLMs such as LangChain, Semantic Kernel, LlamaIndex
Experience in setting up data pipelines for model training and real-time inference.
BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
Not Specified

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