ML Architect

• Discover and create the most effective techniques for topic extraction, tracking topic convergence and divergence, vectorizing such data, and representing the resulting insights
• Create, put into practice, and test ideas for radically upgrading deep learning, classification, NER neural network, and unsupervised language learning models
• Work collaboratively to grasp the characteristics and constraints of different libraries, and common techniques, and to come up with fresh ideas for improving the performance of our models
• Driven by a burning need for performance enhancements, work with the technical team to execute changes downstream

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 8-10+ years of relevant experience as an ML Architect
• Prolific experience with Software Architecture
• Demonstrable experience working with Python and Natural Language Processing (NLP)
• Prior experience with Vector imbedding
• Prior expertise in designing complex machine-learning models
• Ability to focus on the details of deeply creative thinking to overcome obstacles and carry out long-term system plans
• Excellent numeric insight and inventiveness in creating clever algorithms for large-scale performance
• Excellent teamwork and communication skills, as well as the ability to explain the architecture and implementation plan to the engineering and founding teams
• Ability to work in a fast-paced startup where everyone is giving it their all and trying to bring out the best in one another in order to support one another and realize our ambitious plan
• Great conversation and written English communication skills