Senior Machine Learning Lead - LLM

We are looking for experienced Machine Learning Engineer with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities as a Senior Technical Lead will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will be reporting to Senior Manager, Software Engineering

You have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate.

We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include:

• Build on top of the foundational framework for supporting Large Language Model Applications at Avalara
• Experience with LLMs - like GPT, Claude, LLama and other Bedrock models
• Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.
• Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development.
• Write, review, and maintain high-quality code that meets industry standards, contributing to the project's.
• Lead code review sessions, ensuring good code quality and documentation.
• Mentor junior engineers, encouraging a culture of collaboration
• Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged.

• 8+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.
• Bachelor's degree with computer science exposure
• Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.
• With technological innovations in AI & ML(esp. GenAI).
• Expertise in design patterns, data structures, distributed systems, and experience with cloud technologies.
• Good analytical, design and debugging skills.

Technologies you will work with:

Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana