Senior AI Engineer - Bengaluru, India - OnebyZero Pte Ltd.

Description

Job Description
As a Senior 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.

• 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

● 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 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

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 cutting-edge open-source 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 equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Requirements

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.