Artificial Intelligence Engineer

Company Description Zero is a browser-based AI assistant designed for developers and knowledge workers who want to spend less time managing tasks and more time executing meaningful work. The platform transforms scattered to-do items from Slack, email, project tools, and meetings into scheduled actions, anchored to the calendar. Zero offers smart task scheduling, meeting intelligence, workspace integrations, and focus tools to create realistic daily execution plans. Built with a privacy-first mindset, Zero uses secure workspace connections and gives users full control over integrations and data handling. The product is ideal for professionals protecting deep work, managing complex schedules, and working across time zones.
Role Description As an Artificial Intelligence Engineer at Zero, you will design, build, and optimize machine learning models that power Zero’s task scheduling, meeting intelligence, and workspace context features. You will work closely with product and engineering teams to translate user workflows into robust AI solutions, including natural language understanding, pattern recognition, and intelligent recommendations. Day-to-day responsibilities include developing and deploying models, writing production-grade software, evaluating model performance, and iterating on algorithms based on real-world feedback. You will also collaborate on data pipelines, integration with calendars and productivity tools, and continuous improvement of privacy-focused AI systems. This is a full-time, on-site role based in Gurugram.
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and software development practices.
Proficiency in Pattern Recognition and Neural Networks for building and optimizing machine learning models.
Experience with Natural Language Processing (NLP) for understanding tasks, meeting transcripts, and workspace content.
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow), Python or similar languages, and production deployment of ML services.
Familiarity with cloud platforms, APIs, and microservices for integrating AI features into web-based products.
Ability to work with real-world data, including data preprocessing, labeling, evaluation, and continuous model improvement.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Strong problem-solving skills, attention to detail, and comfort collaborating in a fast-paced, product-focused environment.

Work arrangement
No