Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should possess 5+ years of software engineering experience, with strong Python proficiency, and a Bachelor’s or Master’s degree in a technical discipline or equivalent experience. Familiarity with Large Language Models (LLMs) and their practical applications is required, along with demonstrated enthusiasm for applying AI solutions to complex, real-world problems. Practical experience with data modeling and proficiency in SQL is also necessary, as is hands-on experience building and managing large-scale data pipelines (10M+ records/day).
The AI Software Engineer will develop and maintain AI-driven features and services, design and implement scalable data structures and pipelines, build and own end-to-end Retrieval-Augmented Generation (RAG) pipelines, collaborate closely with cross-functional teams to enhance platform capabilities, and contribute to analyzing user engagement data and driving insights.
Monitors customer feedback for product improvement
UnitQ focuses on monitoring and analyzing customer feedback to help businesses improve their products. Its main product, unitQ Monitor, uses machine learning to scan feedback from over 100 languages across various channels, allowing companies to gather insights from a diverse customer base. Unlike competitors, unitQ Monitor filters out irrelevant information to identify actionable bugs and issues, enabling quick resolutions and reducing customer churn. The company's goal is to enhance product quality and customer satisfaction through a subscription-based service.