Lead Data/ML Engineer - Remote

Overview

SuperAds is seeking a Lead Data/ML Engineer to design and optimize scalable data pipelines and integrate advanced machine learning models into production. In this role, you’ll work at the intersection of data engineering and AI, enabling marketers with cutting-edge creative analytics.

In Short

• Design and maintain scalable ETL pipelines for data integration from platforms like YouTube, Google Ads, and Pinterest.
• Optimize data syncing algorithms for large datasets.
• Collaborate with AI researchers to transform machine learning models into production pipelines.
• Implement automated testing and monitoring processes.
• Manage and optimize cloud infrastructure (e.g., AWS, GCP).
• Build fault-tolerant systems for high data volumes.
• Research and adopt emerging technologies for data workflows.
• Troubleshoot and resolve technical challenges.
• Work closely with product and engineering teams.
• Document best practices and mentor junior engineers.

Requirements

• 4+ years of experience in data engineering roles.
• Strong programming skills in Python.
• Experience deploying machine learning models in production.
• Proficiency with AI technologies like PyTorch or TensorFlow.
• Solid knowledge of distributed systems and data modeling.
• Familiarity with orchestration tools and containerization.
• Proficiency with cloud platforms like AWS and GCP.
• Knowledge of ad-tech/mar-tech platforms.
• Strong problem-solving skills.
• Excellent collaboration and communication skills.

Benefits

• Work in a fully remote environment.
• Join a diverse team across 57 countries.
• Opportunity to work with cutting-edge technologies.
• Be part of a company trusted by 450+ businesses.
• Engage in a culture of innovation and knowledge sharing.