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Metro location, mid-level experience, and a recognizable corporate brand increase applicant competition.
Advanced generative AI and agentic systems skills are transferable but require specialized ML/AI experience, so moderate sensitivity.
Explicit 3+ years requirement, mandatory generative/agentic AI expertise, and specific tech stack make filters strict.
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Design, develop, and deploy autonomous AI agents capable of complex planning, reasoning, and learning in dynamic environments.
Prepare and manage large datasets for training and evaluating generative and agentic AI models, ensuring data quality.
Integrate AI models and multi-agent systems into existing software architectures, collaborating with cross-functional teams.
3+ years of professional experience in AI/ML with a focus on Generative AI and/or Agentic Systems.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
Strong proficiency in Python and experience with AI/ML libraries like TensorFlow, PyTorch, Hugging Face Transformers, Keras, or Scikit-learn.
Work Location: On-site in Chennai, India.
Experienced in developing generative models including LLMs, GANs, VAEs, Diffusion Models, and Transformers.
Familiar with agent architectures, reinforcement learning, planning algorithms, multi-agent systems, and prompt engineering for LLM-based agents.
Capable of evaluating, optimizing AI models for performance, scalability, and ethical considerations in production environments.