What are the responsibilities and job description for the Deep Learning Innovator position at Deep Abacus?
Technical Leadership
As a Principal AI Engineer at Deep Abacus, you will have the opportunity to provide technical leadership to junior engineers and guide them through complex challenges. This includes mentoring and training, ensuring that they have the skills and knowledge needed to succeed in their roles.
Core KRR Components
- Drive the development and implementation of core KRR components within the AI platform.
- Ensure that these components are scalable, reliable, and maintainable.
Business Applications
- Design, implement, and deploy KRR systems for various applications, including chat and dialogue-based interfaces, automatic code generation, document understanding, and question answering.
- Develop systems that allow non-expert users to encode accounting knowledge.
Skills and Qualifications
- Extensive experience in developing and applying KRR to business applications.
- At least 3 years of hands-on experience with Deep Learning, along with proficiency in tools such as TensorFlow, PyTorch, or equivalent.
- A PhD in Knowledge Representation and Reasoning or relevant equivalent experience.
- Strong experience in building KRR infrastructure at scale, with expertise in techniques like Datalog and Answer Set Programming.
- A solid background in Natural Language Processing, and familiarity with integrating reasoning and machine learning.
- Experience using Large Language Models (LLMs) in the context of KRR systems.
- Experience with coding in Julia and Python, as well as familiarity with Docker and AWS.
