Senior ML Technical Lead

3 weeks ago

Pune, India Avalara Technologies Full time

What You'll Do

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

What Your Responsibilities Will Be

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.

What You'll Need to be Successful

  • 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

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