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indeed

Machine Learning Engineer - III

Avalara
Remote, IND
Remote
Discovered 1 weeks ago
Machine learningLarge language modelsSoftware developmentMachine learning model deploymentPythonCI/CD
Free

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Key skills for this role

Machine learningLarge language modelsSoftware development
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Role overview

Avalara is seeking an experienced Machine Learning Engineer with a software development background.

Lead work on a large language model framework that powers diverse Avalara applications.

The role covers conceptualization, prototyping, delivery, scalability, performance, and accuracy of LLM platform features.

This is an explicitly remote role.

Responsibilities

  • Build on the foundational framework supporting large language model applications.
  • Work with LLMs including GPT, Claude, Llama, and other Bedrock models.
  • Apply CI/CD, functional testing, and unit testing best practices.
  • Research and apply current machine learning and software development technologies.
  • Write, review, and maintain high-quality code and documentation.
  • Lead code reviews and mentor junior engineers.

Requirements

  • Bachelor's or master's degree in computer science with 5+ years of software development experience.
  • Experience building machine learning models and deploying them in production environments.
  • Proficiency in cloud computing environments such as AWS, Azure, or GCP.
  • Experience with machine learning frameworks, generative AI, design patterns, and data structures.
  • Good analytical, design, and debugging skills.
  • Python experience is preferred, with additional programming languages valued.

Technology stack

  • Python, LLMs, MLflow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana.
  • The role involves AI and machine learning technologies, particularly generative AI and large language models.

About Avalara

Avalara provides a cloud compliance platform defining the relationship between tax and technology.

Avalara describes itself as an AI-first company and expects employees to use AI in workflows, decision-making, and products.

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