Join Us
At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
What you’ll do
We are seeking an innovative LLM Engineer Lead / NLP Engineer Lead to join our Big Data and AI Team. In this role, you will be at the forefront of implementing state-of-the-art Large Language Models (LLMs) for a range of applications, from understanding to generation tasks. Your work will directly contribute to integrating advanced AI capabilities into our products and services, enhancing user experience, and driving business value.
- Design and implement Large Language Models for a variety of NLP tasks such as text classification, entity recognition, and question answering
- Integrate LLMs into existing and new products, ensuring they enhance functionality and user experience
- Manage and optimize the infrastructure required for the data-intensive processes of training, fine-tuning, and deploying LLMs
- Monitor and assess LLM performance in production environments, identifying and resolving issues to maintain high standards of reliability and efficiency
- Work closely with data engineers to ensure a smooth data pipeline for model training and inference
- Collaborate with product teams to understand requirements and deliver AI features that align with business goals
- Stay abreast of the latest developments in NLP and machine learning, and incorporate cutting-edge research and techniques into our systems
- Document the development process, architecture, and standard operating procedures for knowledge sharing and future reference
- Presenting the results to technical and non- technical audiences
Who you are
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. PHD degree will be a plus.6+ years experience in developing, implementing and maintaining NLP productsProficiency in designing, training, and fine-tuning machine learning models, particularly in the context of NLP, using frameworks such as TensorFlow and PyTorch.Expertise in working with state-of-the-art deep learning architectures for NLP,such as Transformer models(BERT,GPT), recurrent neural networks (RNNs), and convolutional neural networksProficiency with LLM frameworks such as Transformers from Hugging Face.Strong understanding of Word embeddings, contextual embeddings ( Word2Vec, GloVe, ELMo), and pre-trained language models (, BERT, RoBERTa)Solid experience with NLP tasks including but not limited to text classification, entity recognition, sentiment analysis, and question answeringStrong software engineering background, with proficiency in programming languages like PythonExperience with deploying scalable AI systems in production environmentsExcellent communication skills, with the ability to present technical results to non-technical audiencesAbility to guide junior nlp engineers in their skill sets, motivate them, and build the company’s foundation for future growth