Job
Description
Role Overview: You will be responsible for leading the strategic design of AI-driven and automation-centric solutions across digital media operations. Your role will involve architecting intelligent, scalable systems to enhance efficiency in various processes such as campaign setup, trafficking, reporting, QA, and billing. Key Responsibilities: - Identify and assess opportunities to apply AI/ML and automation across media operations workflows, including intelligent campaign setup and anomaly detection in QA. - Design scalable, intelligent architectures using machine learning models, RPA, Python-based automation, and media APIs (e.g., Meta, DV360, YouTube). - Develop or integrate machine learning models for performance prediction, media mix modeling, and anomaly detection in reporting or billing. - Ensure adherence to best practices in data governance, compliance, and security, particularly related to AI system usage. - Partner with business stakeholders to prioritize high-impact AI/automation use cases and define clear ROI and success metrics. - Stay updated on emerging trends in AI/ML and translate innovations into actionable media solutions. Qualification Required: - 7+ years of experience in automation, AI/ML, or data science, with at least 3 years in marketing, ad tech, or digital media. - Strong understanding of machine learning frameworks for predictive modeling, anomaly detection, and NLP-based insight generation. - Proficiency in Python and libraries such as scikit-learn, TensorFlow, pandas, or PyTorch. - Experience with cloud-based AI platforms (e.g., Google Vertex AI, Azure ML, AWS Sagemaker) and media API integrations. - Ability to architect AI-enhanced automations that improve forecasting, QA, and decision-making in media operations. - Familiarity with RPA tools (e.g., UiPath, Automation Anywhere); AI-first automation experience is a plus. - Demonstrated success in developing or deploying ML models for campaign optimization, fraud detection, or process intelligence. - Familiarity with digital media ecosystems such as Google Ads, Meta, TikTok, DSPs, and ad servers. - Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value. Role Overview: You will be responsible for leading the strategic design of AI-driven and automation-centric solutions across digital media operations. Your role will involve architecting intelligent, scalable systems to enhance efficiency in various processes such as campaign setup, trafficking, reporting, QA, and billing. Key Responsibilities: - Identify and assess opportunities to apply AI/ML and automation across media operations workflows, including intelligent campaign setup and anomaly detection in QA. - Design scalable, intelligent architectures using machine learning models, RPA, Python-based automation, and media APIs (e.g., Meta, DV360, YouTube). - Develop or integrate machine learning models for performance prediction, media mix modeling, and anomaly detection in reporting or billing. - Ensure adherence to best practices in data governance, compliance, and security, particularly related to AI system usage. - Partner with business stakeholders to prioritize high-impact AI/automation use cases and define clear ROI and success metrics. - Stay updated on emerging trends in AI/ML and translate innovations into actionable media solutions. Qualification Required: - 7+ years of experience in automation, AI/ML, or data science, with at least 3 years in marketing, ad tech, or digital media. - Strong understanding of machine learning frameworks for predictive modeling, anomaly detection, and NLP-based insight generation. - Proficiency in Python and libraries such as scikit-learn, TensorFlow, pandas, or PyTorch. - Experience with cloud-based AI platforms (e.g., Google Vertex AI, Azure ML, AWS Sagemaker) and media API integrations. - Ability to architect AI-enhanced automations that improve forecasting, QA, and decision-making in media operations. - Familiarity with RPA tools (e.g., UiPath, Automation Anywhere); AI-first automation experience is a plus. - Demonstrated success in developing or deploying ML models for campaign optimization, fraud detection, or process intelligence. - Familiarity with digital media ecosystems such as Google Ads, Meta, TikTok, DSPs, and ad servers. - Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value.
