MLOps ENGINEER

SAN FRANCISCO, CA (HYBRID)

$150-200K

About the Job

Our client is focused on data-centric AI (DCAI), providing algorithms/interfaces to help companies (across all industries) improve the quality of their datasets and diagnose/fix various issues in them. They develop next-generation DCAI algorithms that are released publicly as open-source software as well as enterprise SaaS products with interfaces for data scientists/engineers to effectively improve their data quality and produce more reliable ML models.

While many companies can help store/manage data or develop ML models, there are few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. 

We're looking for strong software engineering skills and experience productionizing code/models in cloud environments while maintaining the necessary infrastructure. You should be comfortable with large software systems.

Experience working in MLOps: processing data, deploying and monitoring models, etc. We do not require deep knowledge of ML algorithms, but you must have previously worked on many ML and Data projects at companies (across their full life-cycle, not say just in Jupyter).

What You'll Get To Do

  • Develop and maintain cloud infrastructure for a web application that has many users, each with many datasets/models, some of which are quite large.

  • Work on large-scale ML projects with enterprise customers, from inception to production.

  • Collaborate with other engineers to build and maintain large-scale systems and establish a strong engineering culture across the company.

  • Pioneer novel software systems for the rapidly growing field of data-centric AI. 

  • Develop tools that enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets thus improving the quality of their business’s core asset.

  • Work on cutting-edge MLOps with guidance from MIT PhDs who are prominent in ML research.

  • Work with a modern tech stack (the latest tooling and ML models) at a dynamic startup.

Qualifications and Requirements

  • 5+ years of work experience in in MLOps. You should have tackled hard MLOps challenges at companies dealing with massive datasets, reliable model serving, cloud infrastructure, etc.

  • Experience with CI/Testing, e.g. Jenkins

  • Experience with AWS, Docker, and Git

  • Experience in PyTorch/PyTorch Lightning, Hugging Face, and relational databases

  • Experience with Python (pandas, scikit-learn, numpy, Jupyter)

  • Experience with Sagemaker, MLflow

  • Experience with Databricks, Snowflake, and Redshift

  • Experience with ELT tools

  • Experience with Cleanlab or other data-centric AI tools

  • Experience with LangChain

About Avant Search Group

We represent over 20 years of experience working with brands at all stages - from startups to the Fortune 100 - to build great tech teams, and help job seekers at all stages of their careers, from entry level technologies beginning their careers to C-Suite executives seeking to lead high-growth organizations make their next move the right move.

In a highly transactional industry, we prioritize building relationships, and simply treating people the way we would like to be treated if we where the client or candidate. Our goal: deliver critical expertise, a process-driven approach to achieving success, and become a valuable asset to you as a job seeker or business.