Lead and mentor a team of data scientists, ML engineers, and research scientists.
Define and drive the AI / ML roadmap aligned with business goals.
Collaborate with cross-functional teams (Product, Engineering, Business) to identify opportunities for AI-driven innovation.
Advocate for ethical AI practices and model governance.
Technical Execution :
Architect and implement scalable ML solutions using classical algorithms and deep learning frameworks.
Design and deploy NLP models for various tasks.
Build and fine-tune Generative AI models for diverse use cases.
Conduct rigorous experimentation, model validation, and performance tuning.
Project & Stakeholder Management :
Manage multiple AI / ML projects from ideation to production.
Translate business requirements into technical specifications and actionable insights.
Present findings and recommendations to senior leadership and stakeholders.
(ref : hirist.tech)
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Data Science Manager • India
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