We’re on the lookout for a Large Language Model (LLM) AI Research Engineer who loves getting their hands dirty in the world of NLP. If you’re the kind of person who enjoys diving into complex problems, playing around with massive data sets and turning big ideas into real-world solutions, then you’ll fit right in!
This role is perfect for someone who likes to work both in a team and independently, bringing innovative ideas to life, especially in the area of LLMs. We’re a rapidly growing company with a mission and we want someone who’s as excited as we are to make a big impact. We are also looking for people that are passionate about empowering the financial success of our customers.
Job requirements:
Responsibilities:
- Lead the development and management of datasets specifically tailored for fine-tuning LLMs, aimed at maximizing model efficiency and effectiveness.
- A/B test different open-source LLMs to enhance performance and applicability.
- Develop cool applications using LLMs and if you’ve worked with Huggingface that’s a plus.
- Engage in pioneering projects with langchain and related LLM applications, pushing technology boundaries and trying new things.
Qualifications:
- A Bachelor’s degree in Computer Science or Machine Learning.
- Experience with Langchain and RAG
- Experience training / fine tuning and deploying open source LLM’s
- Proficient in Python with extensive experience in ML libraries like TensorFlow and PyTorch.
- Exceptional problem solving abilities, meticulous attention to detail and a talent for logical reasoning
Notice for Job Applicants:
We are living and thriving on diversity at Upfeat! We thank all applicants, however only those selected for an interview will be contacted.