remote
Machine Learning Engineer V - Avalara
ML Engineer
Senior Machine Learning Engineer leading complex AI initiatives, including classification, document intelligence, GenAI, and production ML systems, using Python, deep learning frameworks, and cloud-native infrastructure.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end machine learning solutions for document classification, information extraction, and generative AI workflows.
- Design, implement, and scale production‑grade ML pipelines on AWS, leveraging container orchestration with Kubernetes.
- Collaborate with product and data teams to translate business requirements into robust models using TensorFlow or PyTorch.
- Drive MLOps best practices, including model monitoring, automated testing, and continuous deployment.
- Mentor junior engineers and contribute to the technical roadmap for AI capabilities across the organization.
Requirements
- 5+ years of professional experience building and deploying large‑scale machine learning systems.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with NLP techniques, large language models, and retrieval‑augmented generation.
- Proven expertise in cloud platforms (AWS) and container orchestration (Kubernetes) for production ML workloads.
- Demonstrated ability to lead complex projects, solve ambiguous problems, and communicate technical concepts to cross‑functional stakeholders.
Skills
pythontensorflowpytorchnatural language processingawskubernetes