
Artificial Intelligence Solution Designer
2 weeks ago
Responsibilities :
- Architect and implement enterprise-scale AI/ML solutions, including Generative AI, Agentic systems, and LLM applications ( including fine-tuning).
- Design and deploy intelligent AI agents using frameworks like LangChain and LangGraph to enhance user experience and operational efficiency.
- Build and optimize NLP/document processing pipelines using GCP/Azure tech stack.
- Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.
- Establish and maintain robust LLMOps/MLOps practices for model lifecycle management.
- Develop and deploy models using PyTorch, MLFlow, and FastAPI.
- Ability to implement scalable ML infrastructure, Kubernetes, and CI/CD automation (GitHub Actions).
- Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.
Requirements :
- AI/ML Tools : LangChain, LangGraph, PyTorch, MLFlow, Cloud Platforms : GCP Vertex AI, Kubernetes
- DevOps and Automation : GitHub Actions.
- Bachelor's degree in computer science, Engineering, or related field.
- 10+ years of experience in IT systems and AI/ML solution delivery.
- Proven track record in designing and deploying enterprise AI solutions.
- Strong understanding of cloud-native architectures and scalable AI infrastructure.
(ref:hirist.tech)-
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