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 settings, 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