- NTT DATA North America (New York, NY)
- …data, as well as experience with large-scale data analytics (including Regex, NLP , and AI filtering), would be highly advantageous. Furthermore, the candidate should ... have expertise in extracting data from SaaS platforms, manipulating it for on-premise reporting purposes, and working closely with Compliance to achieve targeted outcomes. The ideal candidate should have the skills listed below but in addition should be a… more
- Amazon (New York, NY)
- …research experience - Experience programming in Java, C++, Python or related language - Experience applying machine learning to solve real-world problems in ... through experimentation - Research publications or open-source contributions in ML, IR, or NLP are a plus Amazon is an equal opportunity employer and does not… more
- Amazon (New York, NY)
- …of e-commerce. Key job responsibilities * Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in ... find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays...that there is minimal human touch involved in any language translation and accurate translated text is available to… more
- Bloomberg (New York, NY)
- …solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and ... our clients need it most. The advent of large language models (LLMs) presents new opportunities for expanding our... models (LLMs) presents new opportunities for expanding our NLP capabilities in our products. As a Senior LLM… more
- Citigroup (New York, NY)
- …implementation in many advanced domains spanning across AI, Machine learning, NLP , Analytics, Blockchain/Distributed Ledger Technology and many more. We're on the ... hunt for a highly skilled and experienced senior engineer to lead the design and development of the various AI services as part of the Citi Innovation Labs. The ideal candidate has excellent track record in high scale engineering products and specifically AI… more
- Amazon (New York, NY)
- …choice modeling, or other advanced survey techniques - Experience with generative AI, NLP , and its applications in research Amazon is an equal opportunity employer ... and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace… more
- Meta (New York, NY)
- …complex research 16. 5. Researching topics closely related to machine learning, NLP , recommendation systems, pattern recognition, signal processing , data mining, ... artificial intelligence, information retrieval, or computer vision 17. 6. Performing research that enables learning the semantics of data like images, video, text, audio, or other modalities, and of advances the technology of intelligent machines 18. 7.… more
- Bank of America (New York, NY)
- …that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged ... opportunities using Generative AI, built on proprietary and open-source Large Language Models, working with on-premises and Cloud infrastructure, and using… more
- NVIDIA (New York, NY)
- …Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc + Familiarity with NLP Generative and Agentic AI models, frameworks, and applications + ... Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production + Development experience with NVIDIA software libraries and GPUs + Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center… more
- Eliassen Group (Albany, NY)
- …machine learning and deep learning models for classification, regression, recommendation, NLP , computer vision, and time-series forecasting. + Apply deep learning ... techniques (eg, CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems. + Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement. + Select appropriate… more