Role Overview :
We are seeking a highly skilled and visionary AI Solution Designer & Implementor to lead the design, development, and deployment of advanced AI / ML solutions across Retail Analytics Engineering Platforms. This role requires deep expertise in Generative AI, LLMs, Agentic AI, and MLOps, with a focus on building scalable, production-ready enterprise systems.
Key Responsibilities :
- Architect and implement enterprise-scale AI / ML solutions, including Generative AI, Agentic systems, and LLM applications (fine-tuning included).
- Design and deploy intelligent AI agents using frameworks such as LangChain & LangGraph to enhance user experience and operational efficiency.
- Build and optimize NLP / document processing pipelines using GCP and Azure tech stacks.
- Lead 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.
- Implement scalable ML infrastructure with Kubernetes and CI / CD automation (GitHub Actions).
- Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.
Required Skills & Technologies :
AI / ML Tools : LangChain, LangGraph, PyTorch, MLFlow, FastAPICloud Platforms : GCP Vertex AI, Azure AI Foundry, KubernetesDevOps & Automation : GitHub ActionsStrong expertise in Generative AI, LLMs, and Agentic AIQualifications :
Bachelors degree in Computer Science, Engineering, or a related field.10+ years of experience in IT systems and AI / ML solution delivery.Proven track record in designing and deploying enterprise-scale AI solutions.Strong understanding of cloud-native architectures and scalable AI (Preferred) :GCP and / or Azure certifications.(ref : hirist.tech)