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Tier-1 employer, mid-level (3+ years), and metro role combine to increase applicant competition.
Specialized generative AI and agentic systems skills transfer across industries but require specific ML expertise.
Explicit 3+ years requirement plus specialized generative AI and agentic systems expertise and tool mandates.
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Design, develop, and deploy advanced Generative AI models and autonomous agentic systems capable of complex decision-making and interaction.
Architect and build multi-agent AI systems integrating planning, reasoning, learning, and execution in dynamic environments.
Prepare and manage large datasets for training, evaluate model performance with robust metrics, optimize for efficiency and deploy models into production environments.
Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or closely related quantitative field.
3+ years of hands-on AI/ML development experience focused on Generative AI and/or Agentic Systems.
Strong programming skills in Python with experience in AI/ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers.
Proven experience with generative models (LLMs, GANs, VAEs, Diffusion Models, Transformers) and familiarity with agent architectures, reinforcement learning, and planning algorithms.
Experienced in designing autonomous AI agents with multi-agent system integration and production deployment experience.
Technically proficient in both research and practical application of state-of-the-art generative and agentic AI techniques.
Capable of collaborating with cross-functional teams for system integration, evaluation, and optimization in complex AI projects.