You'll join the HS Code Classification team, which helps businesses that ship goods across borders get the right tariff code for every product, and cuts down the manual work our classification experts do today. Here you'll own models from first experiment to production, work on a hard real-world problem with thousands of codes and messy product data, and see the results used directly by customers.

Build intelligent systems that classify, extract, validate, and reason over complex business data and multiple languages

Improve automation quality through applied ML, GenAI, retrieval, and evaluation-driven development

Integrate model improvements into production workflows and user-facing experiences

Support fast, reliable ML services that can operate in real-time and high-volume environments

Improve data quality detection so downstream AI systems operate on inputs that are complete and actionable

You'll work on text classification, data quality checks, model evaluation, small language models, RAG, and faster inference. You'll also build AI agents that can reason through multi-step tasks, build MCP to connect them to tools and data they need. The role needs hands-on ML skills, strong engineering, and the ability to collaborate across product, engineering, and domain teams.

This role is remote.

Build and improve ML systems for product classification, document understanding, data quality checks, and retrieval

Fine-tune, test, and deploy models, including transformers and small language models

Build AI agents that reason through multi-step tasks and use MCP to connect to tools and data

Write backend services, APIs, and pipelines that bring models into production

Add GenAI features such as chat, retrieval, and clear explanations of results to the product

Keep systems production-ready with testing, monitoring, and documentation

Python, transformer models, LLMs, MCP, Docker, Kubernetes, MLflow, AWS, GitLab, Postgres, and Prometheus, Hex Dashboards , CI/CD deployments





Delivered production-ready ML improvements for one or more AI-powered workflows

Improved model quality, latency, reliability, or user experience for a production ML system

Built or enhanced evaluation pipelines that make model performance easier to measure and improve

Integrated ML capabilities into backend services, APIs, or user-facing workflows

Contributed to data quality or input validation capabilities that improve downstream model performance

Improved engineering quality through reliable implementation, testing, documentation, and production support

Avalara is an AI-first Company

AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.

You'll bring experience using AI and AI-related technologies, ready to thrive here.

You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

In addition to a outstanding compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Benefits vary by location but generally include private medical, life, and disability insurance.

Inclusive culture and diversity

Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We're defining the relationship between tax and tech.

We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Supporting diversity and inclusion is a cornerstone of our company — we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law.

📌 Remote Machine Learning Engineer (India)
🏢 Avalara APAC
📍 India