Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelor’s or master’s degree in computer science or related field.
- Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
- Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.