About LeapX AI

LeapX AI is pioneering agentic automation in digital advertising. We empower brands and agencies with AI-driven tools that streamline campaign operations—from data ingestion to optimization—across platforms like Google, Meta and LinkedIn. Our modular architecture combines robust ETL pipelines, rule-based engines and machine-learning models to deliver real-time, actionable insights at scale.

Ideal Candidate: Skills, Expertise & Interests

Programming & Data
Proficient in Python and SQL
Experience with RESTful APIs and JSON data flows
Data Engineering
Comfort designing end-to-end ETL pipelines (Airflow, Prefect, cron jobs, cloud functions)
Familiarity with data-warehouse solutions (BigQuery, Redshift, Snowflake)
Machine Learning & Automation
Exposure to ML frameworks (scikit-learn, TensorFlow, PyTorch)
Understanding of rule-based systems or simple optimization algorithms
Cloud & DevOps
Hands-on with AWS/GCP/Azure services (Lambda, Cloud Functions, S3/GCS, IAM)
Basic containerization experience (Docker, Kubernetes)
Domain Curiosity
Passion for digital marketing, ad-tech trends and campaign performance metrics
Eagerness to translate business goals into technical solutions

About the Role

As an AI/ML Intern at LeapX AI, you will:

Architect and build scalable data pipelines to ingest, process and persist campaign metrics
Explore and prototype AI/ML models and rule-based logic to drive bid recommendations and budget allocation
Collaborate with product, frontend and data-science teams to integrate optimization engines into our core platform
Participate in design reviews, write clear documentation and share learnings through demos

This internship offers hands-on experience building production-grade systems that power next-gen ad-tech solutions. You’ll receive mentorship from seasoned engineers and see your work directly impact how brands run smarter, more efficient campaigns.