This role is open for the following locations Philippines / Thailand / Malaysia / India
As a Senior AI Engineer specializing in Machine Learning and Natural Language Processing you will
lead the development and deployment of stateoftheart AI solutions and products for a diverse client
base.
Design develop and operationalize advanced NLP models such as summarization questionanswering 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 leadingedge algorithms and models from TensorFlow PyTorch and Hugging Face and engage with nextgen 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 LLMpowered 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
Bachelor s degree or higher in Computer Science Data Science Mathematics Statistics or a
related field.
Minimum of 4 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 finetuning LLMs in diverse environments.
Knowledge of document databases (e.g. Elastic Search Vespa) is a plus.
Proficient in SQL and Excel.
Exceptional problemsolving analytical and quantitative skills.
Excellent communication and presentation skills capable of leading discussions and projects
across multidisciplinary teams.
Benefits
What we Offer
Leadership role in a highly skilled and agile AI/ML team an opportunity to create an impact in the dynamic world of Generative AI.
Exposure to challenging AI and machine learning projects with significant impact and visibility.
A dynamic software development atmosphere using cuttingedge opensource tools and frameworks.
Flexible work conditions with respect to time and location fostering a balanced work environment.
We provide a competitive salary and benefits package a vibrant work environment and numerous opportunities for professional growth. Youll 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 equalopportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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.