Posted:20 hours ago|
Platform:
Remote
Full Time
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 & Lang Graph 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 Fast API.
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.
AI/ML Tools: Lang Chain, Lang Graph, PyTorch, MLFlow,
Cloud Platforms: GCP Vertex AI, Kubernetes
DevOps & Automation: GitHub Actions
Bachelors 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.
GCP and/or Azure
Techno Facts Solutions
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