The Lead Solutions Architect designs solution architectures, oversees other architects, ensures compliance with standards, and delivers solutions for clients.
We are seeking a Media Solution Architect to lead the strategic design of AI-driven and automation-centric solutions across digital media operations. This role involves architecting intelligent, scalable systems that enhance efficiency across campaign setup, trafficking, reporting, QA, and billing processes. The ideal candidate will bring a strong blend of automation, AI/ML, and digital marketing expertise to drive innovation and operational excellence.
Job Description:
Key Responsibilities:
- Identify and assess opportunities to apply AI/ML and automation across media operations workflows (e.g., intelligent campaign setup, anomaly detection in QA, dynamic taxonomy validation).
- Design scalable, intelligent architectures using a combination of machine learning models, RPA, Python-based automation, and media APIs (e.g., Meta, DV360, YouTube).
- Develop or integrate machine learning models for use cases such as performance prediction, media mix modeling, and anomaly detection in reporting or billing.
- Ensure adherence to best practices in data governance, compliance, and security, particularly around AI system usage.
- Partner with business stakeholders to prioritize high-impact AI/automation use cases and define clear ROI and success metrics.
- Stay informed on emerging trends in AI/ML and translate innovations into actionable media solutions.
Ideal Profile:
- 7+ years of experience in automation, AI/ML, or data science, including 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.
Location:
ChennaiBrand:
ParagonTime Type:
Full timeContract Type:
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Top Skills:
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