6 Stanford Nlp Jobs

Description Apptware is Hiring | Senior Data Scientist NLP / Generative AI | Pune. Apptware is looking for an experienced Data Scientist / NLP Engineer to design and deploy cutting-edge Generative AI models that power intelligent business solutions across CRM, Sales, and Revenue Operations. Location : Pune. Notice Period : Immediate joiners or up to 30 days. Key Responsibilities Design and implement advanced NLP and Generative AI models (GPT, BERT, T5, etc.) for text generation, summarization, sentiment analysis, and conversational AI. Collaborate with leadership, product, and customer success teams to deliver AI-driven solutions for real-world enterprise use cases in CRM and sales intellige...

As a Data Scientist at Axtria, you will be part of the Data Science Practice team, contributing individually to solve real-world problems using cutting-edge capabilities and emerging technologies. Your responsibilities will include: - Helping clients translate business use cases into data science solutions - Configuring, maintaining, documenting, and updating data sources - Working with machine learning frameworks like TensorFlow, Caffe, Keras, and SparkML - Demonstrating expertise in statistical and probabilistic methods such as SVM, Decision-Trees, and Clustering - Utilizing python data-science and math packages like NumPy, Pandas, and Scikit-learn - Proficiency in object-oriented language...

Area(s) of responsibility Job Title: Systems Architect for NLP-Based Question Answering System Updated Job Description We are looking for an experienced Systems Architect to spearhead the development of a state-of-the-art question answering system. This role is unique as it involves creating a system that leverages advanced NLP algorithms without the use of generalized AI or large language models. The successful candidate will be responsible for building a robust backend architecture, focusing on efficiency, scalability, and accuracy. Key Responsibilities System Design and Architecture NLP and Algorithm Development Data Management and Processing Technical Capabilities Proficiency in NLP tech...

About Aviso AI: Aviso AI is revolutionizing enterprise sales intelligence with its cutting-edge AI solutions for forecasting, dealguidance, and revenue operations. By leveraging AI and machine learning, we transform how enterprise teams operate, allowing them to make data-driven decisions, optimize sales strategies, and increase productivity. We are looking for a Senior Data Scientist who is experienced in Natural Language Processing (NLP) andGenerative AI to join our team. In this role, you will work closely with operations, engineering, sales, product,and customer success teams to design, build, and deploy sophisticated AI solutions that delight our customers and solve critical business ch...

As a Natural Language Processing Engineer at artivatic, you will play a crucial role in developing advanced technology and tools in the field of NLP. Your responsibilities will include: - Developing novel algorithms and modeling techniques to push the boundaries of Natural Language Processing. - Creating end-to-end NLP based tools and solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Mathematics, or a related field with a specialization in natural language processing, Machine Learning, or Deep Learning. - Preferred publication record in conferences/journals. - 2+ years of experience in working/researching on NLP solutions. At artivatic, you will be part of a tea...

As a member of Yellow.ai, you will be applying machine learning, NLP, and deep learning methods to unstructured data sets and complex systems. Your responsibilities will include conducting individual and collaborative R&D initiatives centred around NLU and LLMs, researching and evaluating groundbreaking approaches to NLU and LLM-related problems, developing new algorithms for optimizing existing LLM, investigating and solving challenging machine learning problems, and providing technical leadership and mentorship to mid/junior level team members. - Apply machine learning, NLP, and deep learning methods to unstructured data sets and complex systems. - Conduct individual and collaborative R&D ...