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1 day ago
We are seeking an Artificial Intelligence Architect with extensive experience in LLM development and deployment. The ideal candidate will have a strong grasp of scalability, modularity, and security principles, as well as hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
The successful applicant will design and oversee the architecture for large language models, ensuring alignment with business objectives. They will define technical strategies and create roadmaps to achieve organizational goals, select appropriate technology stacks, frameworks, and tools, manage integration of data pipelines, model training environments, and deployment infrastructure, identify potential technical risks, and define mitigation strategies.
Key Responsibilities:
- Develop the overall architecture for LLMs, aligning with business objectives
- Define technical strategies and create roadmaps to achieve organizational goals
- Select technology stacks, frameworks, and tools for LLM development and deployment
- Manage integration of data pipelines, model training environments, and deployment infrastructure
- Identify potential technical risks and define mitigation strategies
Required Skills:
- Deep knowledge of AI, ML, NLP, and large language models (LLMs)
- Strong grasp of scalability, modularity, and security principles
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of big data technologies, data pipeline design, and data management practices
- Expertise in CI/CD, deployment, and monitoring for ML models
- Ability to guide technical teams and communicate effectively with stakeholders
- Strong analytical skills for addressing complex technical challenges
This is a unique opportunity to join a dynamic team and contribute to the development of cutting-edge AI solutions.
Benefits include:
- A competitive salary and benefits package
- The opportunity to work on high-profile projects
- Professional growth and development opportunities
Others:
- Collaboration with experienced professionals in the field
- Staying updated with AI advancements and incorporating best practices to improve LLM capabilities
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