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Tier-1 brand, metro location, mid-level seniority; niche ML/GenAI specialization reduces applicant pool.
Requires ML research and production deployment expertise, limiting cross-industry transferability.
Requires Masters/PhD, explicit 4+ years ML experience, production deployment and model skills.
Deliver data-driven recommendations and insights supporting strategic GTMOps projects to drive operational excellence and increase customer value.
Design, develop, test, deploy, and maintain ML and AI models, including production system integration and troubleshooting.
Collaborate cross-functionally to translate complex business problems into scalable AI/GenAI solutions and automate data-driven processes.
Master's or PhD in Computer Science or related technical field.
4+ years experience in Python, R, or Scala programming.
4+ years experience in machine learning, personalization algorithms, optimization, or deep learning.
3+ years experience building AI models and handling multi-product deployments.
Experience deploying ML models in cloud environments, preferably Azure, and working with distributed data systems (Hadoop, Spark, etc.).
Strong analytical mindset with ability to translate complex business needs into scalable AI solutions and technical integrations.
Capability to manage stakeholder expectations and deliver business insights while handling sensitive and non-routine information in a fast-paced environment.