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Specialized senior ML/AI role at a lesser-known employer, niche skills reduce competitive density.
Requires deep ML/AI expertise and client-facing capabilities, moderately transferable across industries.
No explicit years but mandatory deep ML/AI and leadership skills imply medium strictness.
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Owns and drives data science solutions focusing on AI, Generative AI, NLP, ML, or Forecasting to deliver client project outcomes.
Provides technical leadership and mentorship to team members on data science methodologies, ensuring data quality and model performance.
Initiates and contributes to upskilling, innovation, client relationship building, and thought leadership in data science within the organization.
Proficiency in at least one specialized area: AI, Generative AI, NLP, Machine Learning, or Forecasting.
Work Experience Required: Not explicitly mentioned in the JD.
No explicit degree or certification requirements mentioned.
No explicit notice period or location constraints mentioned.
Demonstrates technical leadership with the ability to translate complex client data needs into actionable project tasks.
Experienced in balancing team workloads while promoting learning and innovation in data science practices.
Has emerging skills in data engineering, MLOps, product engineering, or cloud services with an orientation towards continuous personal and organizational growth.