We are building the AI core for a Legal Workflow solution. You will be expected to build and train models to extract relevant information from contracts and other legal documents. Required Skills/Experience: - Python - Basics of Deep Learning - Experience with one ML framework (like TensorFlow, Keras, Caffee) Preferred Skills/Expereince: - Exposure to ML concepts like LSTM, RNN and Conv Nets - Experience with NLP and Stanford POS tagger
Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects is a must. We are looking for hands-on leaders in data engineering with the 5-11 year of research/large-scale production implementation experience with: - Proven expertise in Spark, Kafka, and Hadoop ecosystem. - Rock-solid algorithmic capabilities. - Production deployments for massively large-scale systems, real-time personalization, big data analytics and semantic search. - Expertise in Containerization (Docker, Kubernetes) and Cloud Infra, preferably OpenStack. - Experience with Spark ML, Tensorflow (& TF Serving), MXNet, Scala, Python, NoSQL DBs, Kubernetes, ElasticSearch/Solr in production. Tier-1 college (BE from IITs, BITS-Pilani, IIITs, top NITs, DTU, NSIT or MS in Stanford, UC, MIT, CMU, UW–Madison, ETH, top global schools) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.