About Dynatron

Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealership service departments. Our analytics, automation, and AI-powered workflows help service leaders improve profitability, increase operational efficiency, and make smarter business decisions.

As Dynatron expands its AI and machine learning capabilities, building models is only part of the challenge. We need the infrastructure, engineering discipline, and operational rigor to deploy those capabilities reliably, monitor them continuously, and scale them confidently.

The Opportunity

We’re looking for a Senior Machine Learning Engineer (MLOps) to own the production infrastructure and operational lifecycle behind Dynatron’s growing AI and machine learning capabilities.

This is a senior, hands-on engineering role focused on turning models into reliable production services. You’ll build and own the pipelines, infrastructure, monitoring, governance,



and deployment practices that allow our Data Science team to move from experimentation to production safely and repeatedly.

You’ll support both traditional machine learning and modern generative AI/LLM workloads, including retrieval-based and agentic applications. You’ll be responsible not simply for getting models into production, but for ensuring they remain performant, observable, secure, cost-effective, and maintainable once they get there.

You’ll work closely with our U.S.-based Data Science team. Because many of Dynatron’s data pipelines and model workloads run overnight in U.S. time, they align naturally with the India workday. You will have significant ownership of the production setting during this critical operating window.

What You’ll Do

Build & Own the ML Production Lifecycle

Design, build, and maintain deployment pipelines that move models reliably from development through validation and into production
Establish model versioning, lineage, registry

📌 Sr Machine Learning Engineer (India)
🏢 Dynatron Software
📍 India