
Advanced AI Architect
2 days ago
We are seeking an accomplished AI Architect with a proven track record in enterprise-scale AI solutions. The ideal candidate will have extensive experience in fine-tuning foundational models, and a strong understanding of cloud-native technologies.
Key Responsibilities- Solution Architecture: Develop and implement GenAI solutions using LLMs and advanced conversational AI frameworks.
- Model Development: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for domain-specific use cases.
- Open-Source Frameworks: Utilize tools like Hugging Face, LangChain, LangGraph, and AutoGen to build scalable GenAI applications.
- GCP Expertise:
- Design and deploy AI solutions using GCP services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
- Optimize model performance, cost-efficiency, and reliability within GCP environments.
- Integration and Deployment:
- Integrate generative AI models into enterprise systems and applications.
- Implement robust MLOps practices, including CI/CD pipelines (e.g., GitHub), and containerization using Docker and Kubernetes.
- Coding and Development: Write clean, maintainable Python code for GenAI applications
- Data Preprocessing: Build and maintain data pipelines for training and fine-tuning models.
- Model Evaluation: Evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.
- 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).
- Proficiency in Python, with deep knowledge of ML/DL frameworks like PyTorch and TensorFlow.
- Experience in fine-tuning and deploying LLMs using modern techniques and tools.
- Familiarity with MLOps platforms and workflows (MLFlow, Kubeflow, Airflow).
- Excellent communication and leadership skills, with the ability to influence cross-functional teams and drive innovation.
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