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Tier-1 employer, mid-level ML role, metro location, and broad skillset expectations increase competition.
ML/AI skills are transferable across industries, though GTM-focused decision science adds moderate domain specificity.
Requires Masters/PhD, explicit 4+ years experience, and mandatory ML model deployment skills.
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Develop and deploy AI and GenAI models to convert complex data into actionable business insights and operational improvements.
Partner with cross-functional teams to integrate ML models into production systems and scale data-driven processes.
Manage stakeholder expectations and timelines for strategic projects supporting GTM Operations.
Master’s or PhD in Computer Science or related technical field.
4+ years experience in Python, R, or Scala programming.
4+ years experience with machine learning techniques including personalization algorithms, privacy enhancing technologies, optimization, or deep learning.
3+ years experience building AI models with multi-product deployment.
Strategic thinker with strong communication skills to influence and collaborate with cross-functional stakeholders.
Experienced in deploying machine learning models in cloud environments, preferably Azure, and integrating AI solutions across systems.
Skilled in handling complex, sensitive business problems and working in fast-changing, high-impact organizational settings.