A little about us Yoello is a fast-growing UK AI company that specialises in providing mobile payment solutions, connecting merchants and customers in the physical world and revolutionising the way payments are made. Following a UK launch in 2020, Yoello has already expanded globally and continues to expand rapidly into new markets and product developments. Yoello is a multi-award winning UK startup with eager expectations for exponential growth in the future. Yoello is one of the most exciting, multi-award winning startups in the UK and we’d love you to join our fast-growing team to help continue our journey.
What You'll Do as an AI Engineer: - Create disruptive products leveraging AI to provide innovative solutions across a number of verticals - Work closely with the Software Engineering teams to integrate machine learning models into production systems - Create custom Machine Learning solutions - Implement machine learning algorithms and computer vision techniques to accurately interpret and replicate user actions from videos. - Train and fine-tune Language Learning Models (LLMs) to meet application-specific requirements - Work with natural language processing (NLP) to understand user narratives and convert them into actionable tasks for the AI Agent. - Act as an internal subject matter expert on AI technologies, particularly in areas like word embeddings, model fine-tuning strategies, and vector database management - Leverage Open-Source Models and OpenAI APIs to build scalable AI solutions - Innovate and develop new applications using generative AI and other machine learning techniques - Assist in the evaluation and implementation of AI tools and frameworks - Drive initiatives for performance tuning and optimization of existing machine learning models through advanced fine-tuning techniques, thus ensuring that they meet or exceed specified metrics and KPIs. - Keep up-to-date with the latest advancements in AI and machine learning - Work on multi-disciplinary projects and contribute to our culture of continuous improvement
Experience and Skills That We Are Looking For in You: - Strong proficiency in programming languages such as Python, JavaScript, and frameworks/libraries relevant to machine learning and computer vision (e.g., TensorFlow, PyTorch, OpenCV). - Extensive understanding of machine learning algorithms and technologies including Neural Networks, NLP, and Computer Vision - Proficient in generative AI technologies - Familiarity with Open-Source Models and OpenAI APIs - Experience with deploying machine learning models into production environments - Excellent understanding of data structures, data modeling, and software architecture - Strong programming skills and experience with API development - Excellent problem-solving skills and the ability to work in a fast-paced, innovative startup environment. - Excellent communication skills, both written and verbal - Deep Understanding of Large Language Models (LLMs): Candidates must have a profound understanding of the architecture, training, and fine-tuning processes of LLMs such as GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), or similar models.
- Strong understanding of Natural Language Processing (NLP) techniques and methodologies, including tokenization, embedding, attention mechanisms, and sequence-to-sequence models.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with experience in building and training large-scale language models.
- Familiarity with transformer-based architectures like BERT, GPT, or T5, and their application in language understanding and generation tasks.
- Familiarity with Web Scraping and Crawling Technologies: Experience with web scraping tools and libraries (e.g., Beautiful Soup, Scrapy, Selenium) for extracting data and interacting with webpages.
- Expertise in preprocessing and cleaning large datasets, including text normalization, handling noise, and dealing with imbalanced data.
- Knowledge of transfer learning techniques to leverage pre-trained language models and fine-tune them for the specific domain of web traversal and action suggestion.
- Browser Automation and APIs: Knowledge of browser automation tools and APIs, specifically the Chrome Debugger API, to implement the actions suggested by the LLM.
- Dataset Creation and Management: Ability to create, curate, and manage large datasets necessary for training the LLM, including labeled data for DOM elements and user instructions.
- Performance Optimization: Skills in optimizing LLMs for efficiency, including reducing latency and computational resource usage, ensuring the model can operate in real-time web environments.
- Familiarity with tools for version control (e.g., Git), experiment tracking (e.g., MLflow, Weights & Biases), and collaborative development environments (e.g., Jupyter, Notebooks, Google Colab) to ensure efficient teamwork and reproducibility
Experience with the Following Would Be Beneficial: - Familiarity with Kubernetes, Docker, and other containerization technologies - Prior experience in working with large-scale data sets and big data technologies like Hadoop, Spark, etc. - Previous work on Open-Source projects and contributions to the AI community - Exposure to Reinforcement Learning algorithms and models - Experience in working in a multi-disciplinary team and agile environments - Experience in edge AI technologies
معرفی شرکت
Yoello is a multi-award winning* fast-growth fintech providing mobile Order & Pay
technology connecting merchants and customers in the physical world and revolutionising
the way payments operate
Following a UK launch in 2020, Yoello has already expanded into North America and
Australia and continues to grow rapidly with new markets and new products.
* Wales Fintech Awards 2020 - Fintech Startup of the Year and Mobile & Emerging Technologies
Startup of the Year, Cardiff Business Awards 2020 - Technology Company of the Year, UK Tech Nation
Rising Stars 3.0 2021 - Fintech of the Year, British Data Awards 2021 - Startup of the Year,