REQUIREMENTS:
- Experience: 5+ Years
- Proficiency in ChatGPT and other large language models.
- Expertise in neural networks and traditional machine learning algorithms.
- Advanced knowledge of machine learning algorithms applicable to AGI, including meta-learning, transfer learning, and neuro-evolution.
- Experience in deep learning architectures, such as RNNs, CNNs, and attention mechanisms.
- Proficiency in reinforcement learning algorithms and techniques.
- Understanding of cognitive science principles and cognitive modeling.
- Experience in developing multi-agent systems.
- Familiarity with symbolic AI techniques.
- Knowledge of AGI safety and alignment principles.
- Experience with AGI development frameworks like OpenAI’s GPT.
- Understanding of meta-learning and self-improvement techniques.
- Awareness of ethical considerations in AGI development.
- Knowledge of AGI governance and policy.
- Experience in human-AI collaboration.
- Ability to develop AGI evaluation metrics and benchmarks.
- Track record of AGI research and innovation.
- Strong foresight and strategic thinking skills.
RESPONSIBILITIES:
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.