About The Client:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm
About The Job:
- Experience: 6 to 10 Years
- We are looking for a skilled GenAI / LLM Engineer to design, develop, and deploy AI-driven solutions leveraging Large Language Models (LLMs). The role involves working on scalable AI applications hosted on cloud platforms, particularly within AWS environments.
Essential Job Functions:
- Design and develop Generative AI solutions using LLMs (e.g., OpenAI, Bedrock, Hugging Face, etc.)
- Build and deploy end-to-end AI/ML pipelines on cloud platforms
- Work on LLM integration, prompt engineering, and model fine-tuning
- Develop and implement API-based AI services
- Collaborate with cross-functional teams to deliver business-driven AI use cases
- Ensure scalability, performance, and reliability of AI solutions deployed on cloud infrastructure
- Contribute to solution architecture for cloud-based AI deployments (preferably AWS)
Qualifications:
Required Skills & Experience
- Hands-on experience with Generative AI / LLMs
- Strong understanding of ML concepts and NLP techniques
- Experience in Python programming and relevant AI/ML frameworks
- Exposure to prompt engineering, embeddings, and vector databases
- Experience building or working on AI solutions hosted on cloud platforms
Cloud Requirement (Important)
- Experience working on AI/ML solutions deployed on AWS cloud
- Practical exposure to AI workloads in AWS workplace (specific services not mandatory)
- Strong understanding of cloud architecture, deployment, and integrations
Good to Have
- Exposure to AWS Bedrock, SageMaker, or similar AI services
- Experience with MLOps pipelines
- Familiarity with Azure or other cloud platforms along with AWS adaptability
- Prior experience in enterprise AI deployments
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes,