
AI Solutions Architect Position
17 hours ago
Job Title:
Advanced Conversational AI Solutions ArchitectDesign and develop cutting-edge conversational AI solutions using large language models (LLMs) and advanced frameworks.
- Key Responsibilities:
- Lead the architecture of conversational AI solutions using LLMs and advanced frameworks.
- Fine-tune LLMs for domain-specific use cases.
- Build scalable conversational AI solutions using tools like Hugging Face and LangChain.
- Deploy and optimize conversational AI models in cloud environments such as GCP.
- Implement robust model operations practices, including CI/CD pipelines and containerization.
- Write clean, maintainable code for conversational AI applications.
- Develop data pipelines for training and fine-tuning models.
- Evaluate model performance using relevant metrics and benchmarks.
- Prototype conversational AI applications to demonstrate capabilities.
- Drive innovation through experimentation and proof-of-concept development.
Requirements:
- Bachelor's, Master's, or PhD in Computer Science, AI, Electrical Engineering, or Applied Mathematics.
- 15–18 years of experience in software architecture and AI/ML systems.
- Expert-level experience with Google Cloud Platform (GCP), and strong expertise in Microsoft Azure and Amazon Web Services (AWS) for deploying, monitoring, and optimizing AI workloads.
- Proficiency in Python, with deep knowledge of ML/DL frameworks like PyTorch and TensorFlow.
- Experience in fine-tuning and deploying LLMs.
- Familiarity with MLOps platforms and workflows.
- Excellent communication and leadership skills.
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