**Company: Understanding Recruitment Job Description Summary: The text discusses a job opportunity for a Machine Learning Engineer to work on a platform for managing language models. The engineer will be responsible for model selection, validation, dataset creation, and integration. They will collaborate with the infrastructure team in a start-up environment focusing on language models. The ideal candidate should have experience with language models, Python coding, and cloud deployment, as well as a commitment to continuous learning and hands-on product development experience. Applicants should also be familiar with recommender systems, forecasting, and moving prototypes to production. Job seekers with at least 5 years of experience are encouraged to apply for this exciting opportunity at Understanding Recruitment. Job Description: 🌟 Machine Learning Engineer 🌟 I’m thrilled to partner with a dynamic team building an innovative platform to manage the entire lifecycle of language models (LLMs) 🌐. What are you doing day-to-day?: • Support business leaders with model selection, validation, dataset creation, and seamless integration. • Collaborate with the infrastructure team in a vibrant start-up environment focused on LLMs, fostering innovation and experimentation. What do you work on? • Develop and enhance features for our cutting-edge LLM platform. • Assist users with model complexity, validation, and dataset generation. • Fine-tune and expand models in collaboration with various teams. • Adapt your focus based on evolving project needs. What would be idea?l: • Extensive experience with LLMs, Python coding, and cloud deployment 🐍☁️. • Proven track record in transitioning to LLMs with a commitment to continuous learning. • Hands-on experience in product development, not just research. • Familiarity with… recommender systems, forecasting, and moving prototypes to production. • Self-driven, autonomous, and team-oriented with a start-up mindset. Ready for an exciting challenge? Apply now and be part of something ground-breaking! 🌟
Company:Understanding Recruitment
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
