Product Architect
Prophecy Technologies, Sunnyvale, CA, United States
Job Summary:
We are seeking an experienced Product Architect to join our team. The ideal candidate will have strong expertise in product development, including structured data modeling, NLP, time series modeling, and good understanding of LLM concepts. This role offers an exciting opportunity to work on machine learning implementations and contribute to the development of innovative products.
Key Responsibilities: Design and develop machine learning models using Scikit Learn, Pytorch, TensorFlow, Keras, RASA, and LangChain. Implement structured data modeling, NLP, and time series modeling techniques to improve product performance. Develop and maintain MLOps architectures and components to ensure efficient and scalable product development. Collaborate with cross-functional teams to identify and prioritize product features and requirements. Conduct code reviews and ensure best practices in product development. Develop and maintain documentation for product architecture and implementation. Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions. Required Technical Skills:
Machine learning frameworks (Scikit Learn, Pytorch, TensorFlow, Keras, RASA, LangChain) Cloud/DevOps (Git, CI/CD, Docker, Kubernetes, AWS, GCP) Programming language (Python) Structured data modeling, NLP, time series modeling, and LLM concepts Required Qualifications:
4+ years of experience in machine learning implementations Relevant certification in machine learning or related field (e.g., Certified Data Scientist) Bachelor's degree in Computer Science or related field Preferred Qualifications:
Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform) Knowledge of agile development methodologies (e.g., Scrum, Kanban) Strong communication and collaboration skills
We are seeking an experienced Product Architect to join our team. The ideal candidate will have strong expertise in product development, including structured data modeling, NLP, time series modeling, and good understanding of LLM concepts. This role offers an exciting opportunity to work on machine learning implementations and contribute to the development of innovative products.
Key Responsibilities: Design and develop machine learning models using Scikit Learn, Pytorch, TensorFlow, Keras, RASA, and LangChain. Implement structured data modeling, NLP, and time series modeling techniques to improve product performance. Develop and maintain MLOps architectures and components to ensure efficient and scalable product development. Collaborate with cross-functional teams to identify and prioritize product features and requirements. Conduct code reviews and ensure best practices in product development. Develop and maintain documentation for product architecture and implementation. Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions. Required Technical Skills:
Machine learning frameworks (Scikit Learn, Pytorch, TensorFlow, Keras, RASA, LangChain) Cloud/DevOps (Git, CI/CD, Docker, Kubernetes, AWS, GCP) Programming language (Python) Structured data modeling, NLP, time series modeling, and LLM concepts Required Qualifications:
4+ years of experience in machine learning implementations Relevant certification in machine learning or related field (e.g., Certified Data Scientist) Bachelor's degree in Computer Science or related field Preferred Qualifications:
Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform) Knowledge of agile development methodologies (e.g., Scrum, Kanban) Strong communication and collaboration skills