Machine Learning Engineer III
Avalara, IncRemoteDirect career pageEst. 25–40 LPA
Posted 1d ago
Reach people at Avalara, Inc
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Avalara, Inc you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development and production deployment of ML models for HS Code classification and related automation.
- Build and maintain real-time, high-volume ML services including text classification, data quality detection, AI agents, and integration with production workflows.
- Collaborate cross-functionally to improve ML model evaluation, latency, reliability, and user experience with applied ML, GenAI, and small language models.
Minimum Requirements
- Experience delivering production-ready ML improvements in AI-powered workflows.
- Skilled in deploying and fine-tuning transformer models and small language models with backend integration.
- Proficient in Python, Docker, Kubernetes, AWS, MLflow, and CI/CD pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building ML systems that handle complex business data and multi-language text classification problems.
- Strong engineering background with ability to integrate ML models into backend services and APIs and maintain production readiness.
- Capable of working on ambiguous problems translating business needs into scalable ML solutions, collaborating with product, engineering, and domain experts.