Tech Stack

Description

You will lead high-impact data initiatives, designing and deploying predictive models to optimize ad performance, user engagement, and monetization. You will explore and deploy cutting-edge AI technologies, mentor team members, and translate complex data into strategic decisions.

Requirements

• Proven ability to deploy autonomous agents to production with optimized inference.
• Prompt engineering discipline with quantitative evaluation across model families.
• Active use of AI tools in daily technical work.
• Experience in data science and applied machine learning with business impact.
• Proficiency in Python, SQL, cloud ecosystems, and ML frameworks (PyTorch, TensorFlow, LangChain, etc.).

Responsibilities

• Explore, prototype, evaluate, and deploy Agentic AI technologies for product and optimization decisions.
• Design, implement, and deploy predictive models for ad performance, user engagement, and monetization.
• Analyze large-scale datasets to identify patterns and optimization opportunities.
• Define best practices in modeling, testing, and data governance.
• Mentor data scientists and translate complex data problems into strategic decisions.