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Conversational AI Solutions Architect

2 months ago

Auburn Hills, Michigan, United States Marvel Technologies Inc Full time

Position Overview:

We are seeking a talented AI/ML Architect to lead the design and development of innovative conversational AI solutions utilizing Retrieval-Augmented Generation (RAG) methodologies. The ideal candidate will possess a robust background in natural language processing (NLP), machine learning, and software architecture, with a proven track record in creating scalable and efficient conversational AI systems.

Key Responsibilities:

  • Architect and implement advanced conversational AI frameworks using RAG techniques.
  • Develop and optimize machine learning models for various NLP tasks, including text classification, entity recognition, and language generation.
  • Integrate organizational documents and data into the conversational AI platform.
  • Collaborate with cross-functional teams to create scalable and effective software applications.
  • Conduct research and evaluations to enhance the performance and accuracy of the conversational AI solutions.
  • Stay informed on the latest trends and advancements in NLP, machine learning, and conversational AI.

Qualifications:

  • Master's degree in Computer Science, AI/ML, or a related discipline.
  • Minimum of 5 years of experience in AI/ML, focusing on NLP and conversational AI.
  • Deep understanding of RAG techniques and their application in conversational AI.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with software architecture and design patterns.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Relevant certifications (e.g., Certified Data Scientist) are advantageous.

Preferred Qualifications:

  • Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google Cloud AI).
  • Knowledge of graph-based neural networks and their applications in NLP.
  • Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes).
  • Experience with agile development methodologies.