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Tier-1 brand and AI leadership role attract many qualified candidates, but seniority narrows the pool.
Role requires deep ML/LLM, MLOps, and AI governance expertise, making industry background highly relevant.
Explicit 12+ years and extensive mandatory ML, MLOps, governance, and leadership requirements enforce strict filtering.
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Lead end-to-end delivery of enterprise-scale AI/ML, Generative AI, and GPT-based solutions from problem definition through production and operational support.
Define and implement AI architectures and MLOps practices ensuring scalability, security, compliance, and adherence to Responsible AI principles.
Manage and mentor globally distributed AI/ML engineering teams and collaborate cross-functionally to align AI initiatives with business objectives.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
12+ years of software development and engineering experience with enterprise-scale technology solutions.
Hands-on experience with AI/ML technologies including Transformers, Embedding Models, Vector Databases, Semantic Search, Generative AI, LLMs, GPT-based applications, and RAG pipelines.
Experience leading and mentoring offshore or distributed AI/ML engineering teams; solid knowledge of Responsible AI, AI Governance, Security, Privacy, Risk Management, and Compliance.
Experienced senior leader capable of translating complex business challenges into scalable AI/ML solutions with measurable impact.
Proficient in strategic AI roadmap definition and implementing MLOps lifecycle management in fast-paced enterprise environments.
Strong cross-functional collaborator with proven ability to influence decision-making and communicate complex AI concepts to diverse stakeholders including executives.