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Head of Data and AI

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DanAds

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Location:
Sweden , Stockholm

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As the Head of Data and AI, you will drive innovation by identifying and integrating cutting-edge AI/ML capabilities as core, reusable services within the DanAds platform. You will own the end-to-end

Job Responsibility:

  • Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
  • Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
  • Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
  • Partner with the Domain Expert to formalize AI-driven rules within the BRD
  • Implement robust monitoring for model drift, bias, and performance
  • Develop and expose "explainability" endpoints for critical AI decisions
  • Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

Requirements:

  • Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
  • 5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
  • Experience deploying AI-powered features into customer-facing SaaS platforms
  • Proven expertise in exposing ML inference via scalable, low-latency REST APIs
  • Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
  • Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
  • Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
  • Demonstrated ability to translate AI capabilities into product strategy
  • Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Nice to have:

  • AWS Certified Machine Learning Specialty
  • Experience with NLP for content analysis or LLM integration, including LLMOps, GenAI safety, prompt versioning, and evaluation
  • Experience with probabilistic programming or causal inference
What we offer:
  • Competitive salary
  • Wellness grant and occupational pension
  • A fun and entrepreneurial environment
  • Career growth opportunities
  • Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Additional Information:

Job Posted:
December 08, 2025

Work Type:
Hybrid work
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