| AI ML Architect : Onsite in MI : single round of interview at Remote, Remote, USA |
| Email: [email protected] |
| From: Vishnu, siri [email protected] Reply to: [email protected] Job Title: AI/ML Architect - Conversational AI Location : Michigan - Onsite 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: o Design and implement conversational AI architectures using RAG techniques o Develop and train machine learning models for NLP tasks such as text classification, entity recognition, and language generation o Integrate company documents and data into the conversational AI system o Collaborate with software engineers to develop scalable and efficient software applications o Conduct experiments and evaluations to improve the performance and accuracy of the conversational AI system o Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI Requirements: 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 Nice to Have: o Experience with cloud-based AI/ML platforms (e.g., AWS Sage Maker, Google Cloud AI Platform) o Knowledge of graph-based neural networks and their applications in NLP o Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes) o Experience with agile development methodologies Keywords: artificial intelligence machine learning AI ML Architect : Onsite in MI : single round of interview [email protected] |
| [email protected] View all |
| Fri Sep 06 01:30:00 UTC 2024 |