TLDR: NLP Engineer, Middle/Senior, unleashing.ai Where: Remote / Dubai (nomad visa after 3rd month) Salary: gross $6-9k fulltime

How to apply

Mail us: seeall AT unleashing DOT ai (yep, that’s our email!)

About this position

Unleashing AI is a dynamic team of ML Engineers & Business specialists with backgrounds from Google, Amazon, Columbia University, YCombinator startups, CERN, Alibaba, and other top-world companies. In less than six months, we scaled to 14 team members and $2M in annual revenue. Our objective is to reach over $5M in annual revenue in the next year. We're committed to fostering an environment that encourages innovation, continuous learning, and collaboration. Our flexible, remote-first culture values diversity and provides opportunities for professional growth and development.

In your role as an NLP Engineer, you will be tasked with the development of production-grade LLM/NLP models. Collaborating with a team of NLP professionals, you will play an integral role in shaping AI initiatives and transforming product, business, and engineering challenges into actionable AI solutions. This position also offers the exciting opportunity to work with the latest advancements in large language models. We believe that this is a great chance to be on the cutting edge of technology while not just making demos according to the documentation but getting hands-on experience.

Responsibilities

• Develop AI architectures for meeting business objectives
• Deployment and optimization of AI models for production-use
• Research the latest techniques and models in the NLP field to improve the quality of solutions
• Conducting experiments with various models and data sets to optimize business results
• Creating production-ready services (FastAPI, Docker, Gunicorn, Transformers Inference Engines, etc.)
• Communication with the Head of AI and partners
• Solving open-ended, ambiguous engineering problems

Qualifications

• At least four years of work experience as an ML Engineer and at least two years in the NLP field
• At least one from the list: Chatbots, Goal-Directed Dialogue Models, Retrieval, Prompting and Finetuning techniques, NER, Model Inference Optimization
• Advanced NLP knowledge, including knowing about the latest ideas and reading research papers
• Experience with transformer-based models: GPT-2, BERT, T5, GPT-3, ChatGPT, GPT-4
• Experience with DS stack: python, transformers, PyTorch, numpy, docker, git.