
AI Visionary
6 days ago
We are seeking a visionary Architect with 15–18 years of experience in enterprise-scale AI solutions, including deep expertise in fine-tuning foundational models.
Our ideal candidate will lead the design and architecture of AI solutions using Large Language Models (LLMs) and advanced conversational AI frameworks.
- Solution Architecture: The successful applicant will lead the design and architecture of AI solutions using LLMs and advanced conversational AI frameworks.
- Model Development: We require the ability to fine-tune LLMs and Small Language Models (SLMs) using techniques like Progressive Early Fine-Tuning (PEFT), LoRA, and QLoRA for domain-specific use cases.
- Open-Source Frameworks: Experience building AI solutions using tools like Hugging Face, LangChain, LangGraph, and AutoGen is essential.
- GCP Expertise:
- The ideal candidate will have experience designing and deploying scalable AI solutions using Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
- We require the ability to optimize model performance, cost-efficiency, and reliability within GCP environments.
- Integration and Deployment:
- The selected candidate will integrate generative AI models into enterprise systems and applications.
- We require robust MLOps practices, including CI/CD pipelines (e.g., GitHub, Jenkins), and containerization using Docker and Kubernetes.
- Coding and Development: We require clean, maintainable Python code for AI applications.
- Data Preprocessing: The ideal candidate will build and maintain data pipelines for training and fine-tuning models.
- Model Evaluation: We require the ability to evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.
- Prototyping:
- Rapidly prototype AI applications to demonstrate capabilities.
- Showcase solutions to stakeholders for feedback and iteration.
- Drive innovation through fast experimentation and proof-of-concept development.
- Research & Innovation: Stay current with emerging trends in AI and contribute to the evolution of AI architecture and development practices.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 GCP, and strong expertise in Microsoft Azure and Amazon Web Services (AWS) for deploying, monitoring, and optimizing AI workloads across cloud environments.
- 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.
We are committed to fostering diversity and inclusion in the workplace. We welcome applications from all qualified individuals, regardless of gender or gender preference. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- We support hybrid work and flexible hours to fit diverse lifestyles.
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