Description
KPMG Delivery Network (KDN) is seeking a highly skilled Generative AI Engineer to join the team. The Generative AI Engineer will play a pivotal role in designing, coding, and deploying advanced AI solutions using state-of-the-art technologies such as Databricks, AI Fabric, Azure, and Snowflake. This role requires a deep understanding of AI/ML frameworks and cloud-based environments, focusing on building scalable, high-performance AI solutions that drive value for KPMG’s global network.
Responsibilities
Key responsibilities include:
AI Solution Development:
- Design, develop, and deploy Generative AI models and solutions that address complex business challenges across advisory, tax, and audit services.
- Leverage platforms such as Databricks for data engineering and AI model development, AI Fabric for orchestration and deployment, and Snowflake for scalable data management.
- Utilize Azure cloud services to implement and scale AI solutions, ensuring high availability, performance, and security.
Technical Leadership and Collaboration:
- Collaborate with data scientists, AI architects, and software engineers to define technical requirements and develop end-to-end AI solutions.
- Lead the development of AI models from experimentation and prototyping through to production, ensuring alignment with business objectives.
- Work closely with cross-functional teams to integrate AI solutions into existing workflows and systems, optimizing for efficiency and usability.
Coding and Implementation:
- Write high-quality, maintainable code using Python, Scala, or similar programming languages, focusing on AI/ML libraries and frameworks.
- Develop and optimize data pipelines using Databricks, ensuring seamless data flow from ingestion to AI model training and inference.
- Implement AI solutions using AI Fabric, focusing on model orchestration, deployment, and monitoring within a cloud setting.
Data Management and Integration:
- Design and manage data architectures
📌 AI Engineer (Bengaluru)
🏢 BSR
📍 Bengaluru