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Tier-1 brand and metro location with senior specialized AI role gives moderate competition.
Core ML skills transfer across industries but domain expertise preference increases background sensitivity.
Extensive mandatory AI, MLOps, cloud, and 8+ years experience creates high shortlisting strictness.
Lead design and implementation of complex, enterprise-scale AI systems including RAG architectures and autonomous AI agents with multi-step reasoning.
Drive technical strategy, innovation, and AI model integration into production systems via APIs, data pipelines, and microservices, ensuring scalability and compliance.
Mentor engineering teams, oversee AI governance, MLOps/LLMOps practices, and influence product strategy through deep technical leadership and collaboration with stakeholders.
Bachelor's degree in Computer Science, Engineering or equivalent; Master's preferred.
8+ years in software engineering with at least 4 years in senior or lead roles focused on AI/ML.
Expertise in Python and AI/ML frameworks (PyTorch, TensorFlow, JAX).
Proven experience in MLOps/LLMOps, enterprise AI lifecycle management, and cloud platforms (AWS, Azure, GCP).
Experienced leader in building and scaling AI-driven systems with expertise in advanced AI architectures and enterprise integrations.
Strong domain knowledge in legal, tax, accounting, or regulated industries and demonstrated success in AI product launches.
Strategic thinker able to translate complex AI capabilities into market-leading applications, while driving compliance and governance initiatives.