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Tier-1 brand, metro location, mid-level ML/AI role with broad foundation-model skillset and generalist requirements.
Requires specialized foundation-model and finance quantitative analytics experience, limiting cross-industry transferability.
Explicit 4+ years requirement plus many mandatory foundation-model, distributed training, and deployment skills.
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Lead development and deployment of Foundation models, Generative AI, and Agentic AI applications supporting various business lines.
Design, train, fine-tune, and evaluate transformer-based large and small language models, including multi-agent architectures and retrieval-augmented generation systems.
Manage model monitoring, performance evaluation, and collaborate cross-functionally on enterprise-scale AI development, governance, and risk management.
4+ years experience in Quantitative Analytics or equivalent demonstrated through education or training.
Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, physics, economics, computer science, or engineering.
Experience with AI/ML model development including foundation models and generative AI applications.
Work Experience Required: 4+ years in Quantitative Analytics or related AI/ML development.
Experienced in end-to-end AI model lifecycle including pre-training, supervised fine-tuning, reinforcement learning techniques (e.g., RLHF, PPO, DPO).
Skilled in deploying AI models at enterprise scale with knowledge of cloud environments (e.g., GCP) and distributed GPU training.
Familiar with advanced AI/ML techniques such as multi-agent frameworks, retrieval-augmented generation, and infrastructure optimization for efficient model tuning and inference.