The Role: AI Engineer (NLP & Generative AI)
As a AI Engineer specializing in Machine Learning and Natural Language Processing, you will lead the development and deployment of state-of-the-art AI solutions and products for a diverse client base.
In this role, you will need to:
Design, develop, and operationalize advanced NLP models such as summarization, question-answering, intent recognition, dialog/conversational AI, semantic search, named entity recognition, knowledge discovery, document understanding, and text classification.
Work with a wide range of datasets from various sources including websites, wikis, enterprise applications, document stores, file systems, conversation platforms, social media, and databases.
Employ leading-edge algorithms and models from TensorFlow, PyTorch, and Hugging Face, and engage with next-gen LLM frameworks like Langchain and Guardrails.
Utilize modern MLOps practices to evaluate, manage, and deploy models efficiently and effectively in production environments.
Develop and refine tools and processes to improve model performance and reproducibility across multiple customer engagements.
Build and maintain robust, scalable solutions using cloud infrastructure such as AWS and Databricks to deploy LLM-powered systems.
Create evaluation datasets, conduct rigorous model testing to ensure they meet high standards of accuracy and usability, and present findings and models effectively using platforms like Jupyter Notebooks.
Requirements Basic Qualifications
Bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, or a related field.
Minimum of 2 years of professional experience in machine learning and NLP.
Expertise in Python and software engineering best practices.
Proficiency with deep learning frameworks (TensorFlow or PyTorch).
Familiarity with NLP models, frameworks, and libraries (e.g., Hugging Face, spaCy, Haystack).
Experience with large language models (LLMs), including prompt engineering, chaining, agents, and function calls.
Strong skills in deploying and fine-tuning LLMs in diverse environments.
Knowledge of document databases (e.g., Elastic Search, Vespa) is a plus.
Proficient in SQL and Excel.
Exceptional problem-solving, analytical, and quantitative skills.
Excellent communication and presentation skills, capable of leading discussions and projects across multi-disciplinary teams.
Benefits We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth. You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionise the way companies leverage technology for digital transformation.
OnebyZero is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
