What You'll Do
Avalara is accelerating its AI-first transformation by building intelligent systems that automate complex compliance workflows, understand unstructured and structured data, and enable product teams to deliver AI-powered experiences at scale. As Avalara works toward its ambition of being part of every transaction in the world, we are investing in senior ML leadership to build the next generation of production AI capabilities.
We are looking for a Machine Learning Engineer V to lead technically complex AI and ML initiatives across classification, document intelligence, GenAI platforms, retrieval, agentic workflows, and production ML systems. This role is for an engineer who can operate across architecture, applied ML, backend systems, evaluation, and production operations.
The ideal candidate is not just a model builder. They can own systems end to end, make solid architectural decisions, mentor engineers, collaborate with product and domain experts, and turn emerging AI techniques into secure, reliable, scalable product capabilities.
This role helps Avalara build high-leverage AI capabilities that can be reused across many teams, products, and workflows. Senior ML engineers in this space will shape how Avalara applies GenAI, ML classification, document intelligence, retrieval, and agentic systems to improve automation, quality, and scale.
This engineer will help Avalara:
Lead development of production AI systems that solve complex classification, extraction, reasoning, and automation problems
Build reusable GenAI and ML platform capabilities that help product teams ship AI features faster
Advance state-of-the-art document intelligence capabilities for ingestion, extraction, validation, and structured understanding
Improve the quality, reliability, observability, security, and cost efficiency of LLM and ML workloads
Establish stronger evaluation, governance, and production-readiness standards for AI systems
Raise the technical bar across architecture,
📌 Machine Learning Engineer V (India)
🏢 Avalara
📍 India