Principal Machine Learning Architect
Sift- Full Time
- Senior (5 to 8 years)
Candidates must have at least 4 years of experience in Python-focused backend development and expertise in Python web frameworks such as Django, Flask, or FastAPI. Proficiency in microservices and software design principles is essential, along with deep knowledge of SQL and NoSQL databases. Experience building data pipelines and a solid understanding of machine learning algorithms, including proficiency in Pytorch, are required. Candidates should also have expertise in CI/CD and cloud platforms, preferably Azure, as well as the ability to develop end-to-end prototypes and collaborate with front-end engineers. Familiarity with Vector Databases and chaining LLMs is a plus.
The Founding Backend & ML Engineer will design, develop, and deploy robust Python-based backend services using Django, crafting crucial components that power the decision intelligence model. They will implement robust data processing and storage solutions and ensure high uptime and seamless service integration while monitoring system health. Optimizing frontend-backend synergy is also a key responsibility.
Develops AI chatbots for customer engagement
Drift develops AI-powered chatbots and digital tools aimed at improving customer engagement and conversion rates for businesses. Their products facilitate human-like conversations with website visitors, helping to identify and understand customer needs while providing personalized strategies to convert visitors into customers. Drift offers a variety of tools, including Conversational Landing Pages, Drift Engage, and Bionic Chatbots, which are designed to enhance the way businesses interact with their customers. Unlike many competitors, Drift focuses on creating a seamless conversational experience that integrates with existing marketing strategies. The company's goal is to help businesses of all sizes increase their customer engagement and conversion rates through effective digital communication.