Senior AI Engineer

1 month ago

Bengaluru, India OnebyZero Pte Ltd. Full time
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.

BenefitsWhat 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. 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.

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.

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