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Tier-1 brand and Bangalore metro increase competition, but senior, niche GenAI requirements moderate applicant density.
Highly specialized GenAI, LLM training, GPU pipeline and regulatory skills strongly limit cross-industry transferability.
Explicit 15+ years and mandatory GenAI, GPU, and Azure ML requirements create very strict shortlisting filters.
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Lead design and engineering of innovative, customer-centric software solutions focused on automation, resilience, security, and scalability.
Oversee and coordinate multiple feature teams to deliver technically challenging assignments aligned with business and investor metrics.
Define architecture models, roadmaps, and strategic technological transformation opportunities across domain and enterprise levels.
At least 15 years of experience in architecting and training custom Small Language Models (SLMs) with 1B–15B parameters.
Proven experience building scalable GPU-based training pipelines on Azure ML.
Experience in curating high-quality datasets and synthetic data workflows.
Must work from India (location requirement: Bangalore, India).
Senior technical leader skilled in leading complex engineering projects and mentoring junior engineers.
Deep expertise in custom AI model development, particularly in Small Language Models tailored to business and regulatory contexts.
Experienced in operating within DevOps and Agile frameworks and driving enterprise-wide technology strategies.