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AI Engineer
hace 2 meses
We are seeking a highly skilled and experienced AI Engineer to join our dynamic team at Ai Square Corp, focusing on applying quantum technologies to Generative AI and Retrieval-Augmented Generation (RAG) systems, computer vision, and data science solutions.
Key Responsibilities- Design, develop, and implement state-of-the-art advanced RAG systems based on quantum technologies to solve challenging use cases in various applications and domains.
- Act as a domain expert in the field of Generative AI applications, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
- Conduct rigorous evaluations and benchmarks of AI system performance, identifying areas for improvement, optimizing the system for enhanced accuracy, robustness, and efficiency.
- Assess the strengths and weaknesses of AI systems, propose enhancements, and develop novel solutions to improve performance and efficiency.
- Demonstrate strong expertise as a data scientist, especially in dealing with unstructured data in NLP contexts, extracting data from various databases and sources, processing the data to support AI model development and optimization.
- Collaborate with cross-functional teams to integrate AI solutions into customer workflows.
- Maintain comprehensive documentation of the development processes, experiments, evaluations, and results.
- Participate in code reviews and provide constructive feedback to team members.
- Stay up-to-date with the latest advancements and emerging trends in Generative AI, LLMs, and data science, and recommend new tools and technologies as appropriate.
- Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
- 3+ years of experience as a data scientist, with a proven ability to extract data from databases and various sources effectively, and demonstrated proficiency in data cleaning, transformation, and analysis to support AI model development and optimization.
- 2+ years of experience in NLP, focusing on processing and parsing unstructured text data.
- 1+ years of experience in designing, developing, and deploying advanced RAG systems for enterprise AI applications in an industrial environment, using libraries such as LlamaIndex and integrating both open-source and private LLM models.
- Excellent programming skills in Python and experience with relevant libraries (LlamaIndex, PyTorch, etc.).
- Experience with cloud platforms (ideally AWS), containerization technologies (Docker), and with deploying AI solutions in a cloud environment.
- Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively.
- A track record of research publications in AI and machine learning is a plus.
