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Machine Learning Engineer IV

Avalara

Pune

6+ years

1 day ago

$48.2K–77.1K/yr

Full-time

Remote

Skills Required

LLM

RAG

Gen AI

Embeddings

Information Retrieval

Transformers

Python

Machine Learning

NLP

Backend Services

APIs

Distributed Systems

Document AI

Model Serving

Batch Processing

Description

Avalara is hiring for an AI and ML role focused on turning advanced AI techniques into reliable, secure, and scalable production systems. The work centers on improving automation quality, product capabilities, and developer velocity through applied AI.

Company: Avalara

Location: Remote

Experience

- 6+ years of experience in machine learning engineering, applied ML, NLP, information retrieval, GenAI, or production AI systems
- Strong software engineering skills in Python
- Experience building backend services, APIs, or distributed systems
- Experience building, evaluating, and deploying ML models in production environments
- Ability to work across ambiguous business and technical problems and convert them into measurable ML improvements
- Strong collaboration and communication skills across engineering, product, and domain stakeholders

Qualification

- B.E. in Computer Science, Engineering, or a related technical field

Responsibilities

- Design, build, and improve production ML systems for classification, document understanding, retrieval, and AI-powered automation
- Fine-tune and evaluate transformer-based models, small language models, and other ML approaches for practical business use cases
- Build and optimize real-time inference services,



batch-processing pipelines, APIs, and model-serving workflows
- Develop evaluation frameworks to measure model quality, accuracy, latency, reliability, cost, and failure modes
- Contribute to GenAI platform capabilities such as RAG, embeddings, prompt systems, document ingestion, and agent workflows
- Productionize ML and LLM-powered services with strong reliability, observability, security, and cost controls
- Raise the technical quality and production maturity of AI and ML systems by bringing rigor to how models are evaluated, monitored, and improved

Additional Responsibilities

- Mentor junior engineers and help raise team capability in applied AI and production ML practices
- Apply AI every day to business challenges by improving efficiency, contributing solutions, and driving results for the team, company, and customers
- Stay curious about new AI trends and best practices and share learnings with others

Other
- Reporting to the Sr Manager, Machine Learning
- AI is embedded in Avalara's workflows, decision-making, and products
- Total rewards include a great compensation package, paid time off, paid parental leave, and bonuses for many employees
- Health and wellness advantages generally include private medical, life,



and disability insurance
- Avalara strongly supports diversity, equity, and inclusion
- The company has 8 employee-run resource groups with senior leadership and executive sponsorship
- Avalara is an industry-leading cloud compliance platform
- The platform processes over 54 billion customer API calls and over 6.6 million tax returns a year
- Avalara is a billion dollar business
- Equal opportunity employer with consideration regardless of protected characteristics
- Reasonable adjustments during the recruitment process can be requested

More Skills applied ML, text classification, SLMs, batch inference, real-time inference, monitoring, observability, cloud-native deployment, document understanding, retrieval, AI-powered automation

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