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The objective of this project is to drive rapid innovation in AI/ML by accelerating the development and deployment of advanced applications, with a primary focus on LLM-based chatbots and generative AI solutions. We are seeking a highly skilled and innovative AI Engineer to join our dynamic team.
Responsibilities
- Develop and deploy scalable AI/ML solutions using LLMs, generative AI, and advanced machine learning techniques
- Design and implement Retrieval-Augmented Generation (RAG) frameworks for enhanced information retrieval
- Build and maintain robust RESTful APIs for seamless AI and ML model integration
- Utilize Python and scientific computing stacks for data preprocessing, model development, and automation
- Develop, train, and optimize machine learning models for natural language understanding and generation
- Deploy and scale AI/ML applications on AWS cloud infrastructure
- Implement CI/CD pipelines to streamline delivery and updates of AI/ML solutions
- Collaborate with cross-functional teams to integrate AI and ML capabilities into business processes
- Communicate complex AI and ML concepts clearly to technical and non-technical stakeholders
- Stay current with advancements in AI, ML, NLP, and cloud technologies
Requirements
- Technical Skills:
- Hands-on experience in AI Engineering and backend development
- Deep knowledge of machine learning, specializing in large language models (LLMs) and generative AI
- Proficient in Python, with a strong grasp of scientific computing stacks essential for AI development
- Expertise in Natural Language Processing (NLP) techniques and models, including syntax, semantics, and common NLP libraries (e.g., NLTK, Spacy)
- Familiarity with Retrieval Augmented Generation (RAG) and other innovative AI techniques
- Proven experience in architecting, developing, and maintaining scalable AI applications
- Solid experience with building and managing Restful APIs for AI model interaction
- Experienced in using AWS cloud infrastructure and services for deploying and scaling AI applications
- Experienced in implementing CI/CD pipelines to enhance development workflows
- Non-Technical Skills:
- Strong communication skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders
- Being a good problem solver and adaptable to new developments in the fast-paced AI field
- Critical thinking skills necessary for analyzing situations, assessing data, and determining the most effective AI strategies