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Mid-level generative AI role, strong global brand, metro location, and broad demand drive high competition.
Specialized generative and agentic AI expertise strongly limits transferability across non-ML roles and industries.
Explicit 3+ years plus specific generative AI and agentic systems skills make shortlisting highly strict.
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Design and build autonomous AI agents capable of complex planning, reasoning, and multi-agent integration.
Prepare and manage large datasets for training and evaluating generative and agentic AI models.
Develop evaluation metrics, optimize model performance, and integrate AI solutions into existing software systems.
3+ years of hands-on experience in AI/ML development with focus on Generative AI and/or Agentic Systems.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or closely related quantitative field.
Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers.
Proven experience with generative models (LLMs, GANs, VAEs, Diffusion Models, Transformers) and understanding of agentic AI concepts including reinforcement learning and multi-agent systems.
Experienced in architecting autonomous, multi-agent AI systems for dynamic environments.
Skilled in both AI model research/innovation and practical system integration with cross-functional teams.
Strong mathematical foundation and analytic skills enabling troubleshooting and creative problem solving in AI development contexts.