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kubernetes machine learning ai airflow llms📋 Description
- Design and deploy scalable multi-agent AI systems for ads and personalization.
- Build AI features for targeted advertising, journey analytics, and real-time bidding.
- Collaborate with BI, data engineers, and product teams to drive business outcomes.
- Deploy on Google Cloud Platform (GCP) and apply cutting-edge AI techniques.
- Monitor production AI systems, tracking token efficiency, loops, and tool usage.
- Ensure data security and GDPR/CCPA compliance.
🎯 Requirements
- Experience in software engineering in Ad Tech/Mar Tech or similar.
- Experience building multi-agent architectures with API/MCP integrations.
- Strong knowledge of supervised, unsupervised, and reinforcement learning; prompt engineering.
- Practical experience with GCP or AWS equivalents (Vertex AI, BigQuery ML, Dataflow).
- CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices.
- Understanding of marketing concepts like CLV, attribution, and real-time bidding.
🎁 Benefits
- Private Health Care (Bupa)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscriptions (Claude / ChatGPT / Gemini)
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