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Metro-based popular AI entry role with generic requirements leads to moderate competition.
AI/ML technical skills transfer across industries but LLM/agent specifics require ML background.
Explicit bachelor, 0-1 years, and ML/LLM technical requirements imply moderate hiring filters.
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Develop, train, and fine-tune Large Language Models (LLMs) for multiple applications.
Design and implement Voice Agent systems and work with Agentic AI frameworks for autonomous agents.
Implement Retrieval-Augmented Generation (RAG) techniques and integrate AI models into products with cross-functional teams.
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Foundational knowledge in Machine Learning and Deep Learning; familiarity with LLMs and NLP techniques.
Proficiency in Python and AI frameworks like TensorFlow or PyTorch.
Work Experience Required: 0-1 years (Fresher allowed).
Recent graduate or fresher with hands-on knowledge of LLMs, Voice Agents, and Retrieval-Augmented Generation.
Comfortable working in a collaborative, cross-functional technical environment focusing on AI model development.
Interest in applying and advancing skills in cutting-edge AI technologies including Agentic AI and conversational systems.