About the Role:
Join the Media & Advertising team supporting digital and agency integrations (e.g., YouTube, Meta) for advertiser campaigns. You’ll lead end-to-end ML solution development focused on ad performance and audience targeting.
Key Responsibilities:
- Build and deploy ML models for Click-Through Rate (CTR) prediction , time series forecasting , and budget optimization
- Maintain and enhance audience lookalike models
- Design and implement A/B testing frameworks
- Collaborate with cross-functional teams to deliver scalable ML solutions
Tech Stack:
- Cloud: GCP (preferred), AWS or Azure also acceptable
- ML Tools: Vertex AI, Amazon SageMaker
- Languages: Python, Go
- Other: SQL, Fast API, LLMs (nice to have)
Ideal Candidate:
- Experienced ML Engineer with strong end-to-end deployment skills
- Hands-on with CTR modelling , forecasting , and ad relevancy
- Comfortable working in a fast-paced, product-driven environment
- Strong coding and problem-solving skills