**Company: Understanding Recruitment Job Description Summary: The company, Understanding Recruitment, is seeking a Machine Learning Engineer to join their team. The role involves working on a platform for large language models, with tasks including selecting and ensuring the models work well, collaborating with the infrastructure team, developing new features, assisting users, and fine-tuning models. The ideal candidate should have a background in LLMs, Python coding, and cloud deployment, as well as experience in product development, recommender systems, and forecasting. The company values a self-starter attitude and teamwork skills. Applicants should be passionate about LLMs and enjoy solving complex problems in a fast-paced environment. Job Description: Machine Learning Engineer - Join Our LLM Adventure! We’re on the lookout for a brilliant Machine Learning Engineer to join our team. We’re building something pretty cool - a platform that handles everything to do with large language models (LLMs), from start to finish. What you’ll be up to: We’re a lively start-up, so your days will be varied and exciting. You might find yourself: • Helping pick the right models, make sure they work properly, and get them up and running smoothly. • Teaming up with our infrastructure team to push the boundaries of what’s possible with LLMs. • Cooking up new features for our LLM platform. • Giving our users a hand with tricky model issues and dataset creation. • Fine-tuning models and expanding their capabilities alongside different teams. • Adapting to whatever new challenges come our way (because in start-up’s, things change fast!) We’d love it if you bring: • A solid background in LLMs, Python coding, and cloud deployment. • Experience in… switching to LLM work (and a hunger to keep learning). • Real-world product development, not just research. • Familiarity with things like recommender systems and forecasting. • The ability to take projects from “cool idea” to “live in production”. • A self-starter attitude and love for teamwork. We’re building a diverse team and welcome folks from all walks of life. If you’re passionate about LLMs, love solving tricky problems, and thrive in a fast-paced environment, we want to hear from you! Ready to dive into the exciting world of LLMs with us
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.
