
Chief AI Innovation Officer
11 hours ago
We are seeking a visionary AI Architect with 15–18 years of experience in enterprise-scale AI solutions, including deep expertise in fine-tuning foundational models.
- Lead the design and architecture of AI solutions using Large Language Models (LLMs) and advanced conversational AI frameworks.
- Fine-tune LLMs and Sequence Learning Models (SLMs) using techniques like Parameter Efficient Transfer Learning (PEFT), LoRA, and Quantization-aware LoRA (QLoRA) for domain-specific use cases.
- Build AI solutions using tools like Hugging Face Transformers, LangChain, LangGraph, and AutoGen.
Solution Architecture:
Design scalable AI solutions using cloud-native technologies and Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
Model Development:
Develop and deploy high-quality AI models using MLOps practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines, containerization using Docker and Kubernetes, and robust testing and validation methods.
Coding and Development:
Write clean, maintainable Python code for AI applications, with a focus on modularity, reusability, and scalability.
Requirements:
15–18 years of experience in software architecture and AI/ML systems.
Expert-level experience with Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS).
Proficiency in Python, with deep knowledge of Machine Learning (ML) and Deep Learning (DL) frameworks like PyTorch and TensorFlow.
Experience in fine-tuning and deploying LLMs using modern techniques and tools.
Benefits:
Competitive salary and benefits package.
Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.
Opportunity to work with cutting-edge technologies.
Work Environment:
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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