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Tier-1 brand and mid-level ML/AI role in metro increases candidate density.
Specialized ML/AI skills are transferable across industries, though telecom familiarity is only preferred.
Explicit 4+ years plus mandatory LLM, distributed training, GPU and specific language/framework requirements increases strictness.
Design, develop, and optimize AI, SLM/LLM, and agentic solutions to solve real-world problems.
Implement and tune AI algorithms, define APIs, and analyze functionality to build integrated AI toolsets and libraries.
Collaborate in a product-centric environment to deliver scalable AI solutions with measurable business impact.
4+ years in cognitive analytics and AI modeling.
Experience with large-scale distributed AI systems including training, SLM & LLM modeling, fine tuning, and model serving in production (batch/real-time).
Knowledge of GPU/CPU architecture, distributed computing, prompt engineering, and AI performance tuning.
Proficiency in C/C++, Python, Java, debugging, performance analysis, and AI frameworks like TensorFlow or PyTorch.
Experienced in designing and deploying large-scale agentic AI solutions with measurable business outcomes.
Able to communicate complex AI model designs and results to non-technical business stakeholders.
Engaged in R&D with up-to-date knowledge in generative AI, deep learning, and capable of explaining underlying math and code of models.