Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess an MS/Ph.D. in computer science, mathematics, or a related quantitative discipline, or have exceptional work experience in ML engineering. A minimum of 5 years of ML experience is required, along with experience developing machine learning-driven products at scale and practical experience with large data systems, data models, and batch and streaming data pipelines. Familiarity with PyTorch and the ability to quickly ramp up on the tech stack including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js is also necessary.
The Machine Learning Engineer will be responsible for building and maintaining a training pipeline for fine-tuning open-source LLMs, testing different LLM architectures, serving and deploying the LLM on GPUs, formulating novel product issues into ML problems, triaging customer issues to model/system shortcomings, and communicating the complex architecture in a simple, comprehensible way to internal stakeholders while keeping up with the fast-growing generative AI space and incorporating the latest developments into the system.
AI-powered SMS platform for businesses
Wizard.com offers an SMS platform that enables businesses to facilitate product discovery and purchasing through text messages. Customers can browse and pay for products or services in a single conversation, making the buying process simpler and more enjoyable. The platform is designed for various businesses, including e-commerce, beauty brands, and pet product providers, aiming to improve customer engagement and loyalty. Wizard.com differentiates itself by using AI technology to create personalized interactions based on customer conversations, which enhances customer retention compared to traditional methods that rely on basic segmentation. The company's goal is to help businesses build stronger relationships with their customers, focusing on engagement rather than just transactions.