What are the responsibilities and job description for the AI / ML Architect position at Marvel Technologies Inc?
Role: AI / ML Architect
Location: Auburn Hills, MI / Onsite
Duration: Long Term
Job Summary
We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and software architecture, with expertise in building scalable and efficient conversational AI systems. The AI/ML Architect will work closely with cross-functional teams to develop AI-powered chatbots that leverage company documents and data to provide accurate and informative responses.
Key Responsibilities
Location: Auburn Hills, MI / Onsite
Duration: Long Term
Job Summary
We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and software architecture, with expertise in building scalable and efficient conversational AI systems. The AI/ML Architect will work closely with cross-functional teams to develop AI-powered chatbots that leverage company documents and data to provide accurate and informative responses.
Key Responsibilities
- Design and implement conversational AI architectures using RAG techniques
- Develop and train machine learning models for NLP tasks such as text classification, entity recognition, and language generation
- Integrate company documents and data into the conversational AI system
- Collaborate with software engineers to develop scalable and efficient software applications
- Conduct experiments and evaluations to improve the performance and accuracy of the conversational AI system
- Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI
- Master's degree in Computer Science, AI/ML, or related field
- 5 years of experience in AI/ML, with a focus on NLP and conversational AI
- Strong understanding of RAG techniques and their applications in conversational AI
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of software architecture and design patterns
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Relevant certifications (e.g., Certified Data Scientist) a plus
- 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 practices and tools (e.g., Docker, Kubernetes)
- Experience with agile development methodologies
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