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Mid-level AI Team Lead in Bangalore with broad LLM and MLOps requirements increases applicant competition.
Highly specialized ML/AI and MLOps requirements make cross-industry fit limited.
Explicit 5+ years plus mandatory LLM, MLOps, Azure, and Kubernetes skills create strict filtering.
Design, develop, and deploy AI/ML models including LLMs, computer vision, and structured data analytics.
Architect and implement AI services on Azure using Kubernetes, serverless APIs, and MLOps practices.
Lead AI development team, mentor junior engineers, and contribute to AI research and product integrations globally.
5+ years of AI/ML development experience across NLP, computer vision, or traditional ML.
Expertise with LLMs (OpenAI, Hugging Face, Mistral), Lang Chain, transformers, and traditional ML pipelines.
Proficiency in Python, API development, microservices, and deploying AI models on cloud (Azure preferred).
Work Experience Required: 5+ years in relevant AI/ML roles.
Experienced in architecting scalable AI services on cloud platforms, especially Azure with Kubernetes and serverless technologies.
Strong leadership and mentorship capabilities in AI engineering teams with a focus on applied AI in PropTech or related domains.
Proven ability to integrate multi-modal AI solutions and innovate through R&D and cross-team collaboration at a global enterprise scale.