Senior Machine Learning Engineer — Production AI Systems

Avalara Technologies; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Avalara Technologies is seeking a senior ML engineer to design, deploy, and improve production-grade AI systems for automated compliance workflows and document understanding. You will build scalable inference services, evaluate advanced ML techniques, and contribute to GenAI platform capabilities with a focus on reliability and cost controls.

You will collaborate with cross-functional teams to raise engineering maturity, improve model quality, and deliver tangible production impact at scale

Qualifications

• 6+ years of experience in machine learning engineering, applied ML, NLP, information retrieval, GenAI, or production AI systems.
• Strong software engineering skills in Python and experience building backend services, APIs, or distributed systems.
• Experience building, evaluating, and deploying ML models in production environments.
• Familiarity with modern ML techniques such as text classification, transformers, embeddings, RAG, LLMs, SLMs, or document AI.
• Familiarity with model serving, batch and real-time inference, monitoring, observability, and cloud-native deployment.
• 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.

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.
• Mentor junior engineers and help raise team capability in applied AI and production ML practices.
• Raise the technical quality and production maturity of AI and ML systems by bringing rigor to how models are evaluated, monitored, and improved.

Skills

Python

Backend services

APIs

Distributed systems

Machine Learning engineering

NLP

Information retrieval

Education

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

Job description

Avalara Technologies is seeking a senior ML engineer to design, deploy, and improve production-grade AI systems for automated compliance workflows and document understanding. You will build scalable inference services, evaluate advanced ML techniques, and contribute to GenAI platform capabilities with a focus on reliability and cost controls.

You will collaborate with cross-functional teams to raise engineering maturity, improve model quality, and deliver tangible production impact at scale