At Sense Street, we are developing naturallanguageunderstanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past.This allows us … to create language models uniquely suited to capital markets while advancing the state-of-the-art.We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. As an experienced ML expert in the Data Science team, you will part of an innovative team of machine learning researchers, engineers, and domain experts. Here … fine-tune an LLM. Requirements: MSc with enough research experience (industry or academia) or PhD in a relevant subject. Extensive background in using and developing deep learning methods. Substantial understanding of deep learning methods and breadth of knowledge of different models and their potential applications. Knowledge of LLMs is a must have. Interest for text and language tasks. More ❯
around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like naturallanguageunderstanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML More ❯
and learn from a variety of technical leaders within Kore.ai to ensure they fully understand how to represent our technology, answer questions related to the competition, talk about the NLU/AI landscape and why we're differentiated in the marketplace. They will serve as an important conduit back into the product management team to continue to enhance the product … and technology differentiation. Demonstrate Kore.ai Platform features and pre-build Solution products. Whiteboard the solution and review architecture, performance, and scalability requirements. Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform. Facilitate and drive use case workshops with prospective customers. Analyze conversational UX use cases for feasibility … frame customer solutions Exceptional listener. A whatever it takes attitude, willing to put in the extra effort when needed (long hours, travel (when normalized again), weekends). Experience with NLU technology in the industry. Strong verbal and written communication. Strong analytical and problem-solving capabilities. Highly organized, detail-oriented, and self-motivated. Able to thrive in a high-growth, fast More ❯
pipelines Test and Validate services. Deploy and monitor solutions for impact Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products Help develop and groom an experiment backlog Build models that solve real-world problems Optimize models for production throughput and uptime requirements Automate deployments … testing, and monitoring (MLOps) Requirements 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services Expert in Machine Learning, Modeling, and development with Python Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services Ability to mentor others and work independently Nice to More ❯
business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. … center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 1+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 2+ years More ❯
