Dynatron Software Benefits Overview

Own the production lifecycle for traditional ML and generative AI systems, including deployment pipelines, model registries, monitoring, retraining, governance, and incident response. Build reliable AWS-based infrastructure for LLM and agentic applications, establish observability and cost controls, and create operational standards, runbooks, and documentation. Partner with U.S.-based Data Science, Data Engineering, and Product teams while independently managing production workloads during India operating hours.

Lead production-focused AI and machine learning development across classification, prediction, generative AI, LLM, and agentic use cases. Own modeling, evaluation, deployment, monitoring, and lifecycle improvement for customer-facing capabilities. Partner with Product, Engineering, Data Engineering, and MLOps to assess feasibility, prioritize opportunities, establish evaluation standards, and translate complex automotive data into reliable, scalable AI products. The role also provides technical leadership and product judgment without direct people-management responsibility.

Own daily accounts receivable inbox triage, apply incoming payments, resolve discrepancies, reconcile cash, maintain customer records, prepare journal entries, support month-end reconciliations, and improve AR workflows in NetSuite. The role also provides reporting and broader accounting support in a remote SaaS environment.