Teams at Cerence Inc.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Drive architecture choices (attention variants, MoE), optimize training stability and optimizers, validate scaling laws and compute/data tradeoffs, design loss and alignment strategies (RLHF, DPO, contrastive), and execute distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and checkpointing while partnering with ML systems teams.

Design, build, and maintain FinOps tooling, data pipelines, dashboards, and automation to improve cloud cost visibility, allocation, and optimization across Azure, AWS, and GCP. Support budgeting, variance analysis, anomaly detection, and executive reporting. Collaborate cross-functionally to implement tagging, chargeback/showback, governance, and AI-enabled automation while documenting operational processes for scalable FinOps practices.