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Conversational AI Solutions Architect

2 months ago

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

Position: AI / ML Architect

Location: Remote

Contract Duration: Long Term

Position Summary:

Marvel Technologies Inc is in search of a skilled AI/ML Architect to conceptualize and implement innovative conversational AI frameworks utilizing Retrieval-Augmented Generation (RAG) methodologies. The successful candidate will possess a robust background in natural language processing (NLP), machine learning, and software architecture, along with proven experience in creating scalable and effective conversational AI solutions. This role involves close collaboration with diverse teams to engineer AI-driven chatbots that utilize organizational documents and data to deliver precise and insightful responses.

Core Responsibilities:

  • Architect and execute conversational AI frameworks employing RAG methodologies.
  • Develop and optimize machine learning models for NLP applications including text classification, entity recognition, and language generation.
  • Incorporate organizational documents and data into the conversational AI architecture.
  • Work alongside software developers to create scalable and efficient software solutions.
  • Conduct research and assessments to enhance the performance and precision of the conversational AI framework.
  • Remain informed about 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.
  • 5+ years of professional experience in AI/ML, particularly in NLP and conversational AI.
  • Deep understanding of RAG methodologies and their relevance in conversational AI.
  • Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with software architecture and design principles.
  • Exceptional analytical and problem-solving abilities.
  • Strong communication and teamwork skills.
  • Relevant certifications (e.g., Certified Data Scientist) are advantageous.

Preferred Skills:

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