GoMaterials

GoMaterials

GoMaterials provides a streamlined marketplace for landscaping professionals to source wholesale plants and trees from local nurseries, offering competitive quotes, efficient order management, and dedicated support to enhance the procurement process.

Specialty Retail
11-50
Founded 2017

Description

  • Design and maintain robust ETL/ELT pipelines for large and complex datasets.
  • Deploy and scale ML and OR models in Azure using Azure ML Studio, DevOps, and containerization.
  • Build automated validation, monitoring, and benchmarking pipelines to ensure models are accurate, reliable, and robust.
  • Collaborate closely with Data Scientists, Engineers, and Product teams to integrate AI solutions into core products.
  • Own projects end-to-end from development through deployment and validation.
  • Mentor peers and help define best practices for code quality and model governance.
  • Set up and optimize cloud infrastructure in Azure for experimentation and deployment.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • Strong programming skills in Python, plus experience with Java, C++, or similar languages.
  • Solid understanding of data pipelines, APIs, and distributed systems.
  • Hands-on experience with SQL and NoSQL databases and workflow orchestration tools such as Airflow, Prefect, or Luigi.
  • Proven experience with Azure services, including Azure ML Studio, Azure Data Factory/Synapse, Azure Blob Storage, Data Lake, and Event Hub.
  • Experience with Azure DevOps for CI/CD and infrastructure automation.
  • Experience in ML model validation, evaluation, and monitoring.
  • Strong knowledge of Git, CI/CD, automated testing, and code quality practices.
  • Excellent problem-solving and collaboration skills.
  • Preferred: Experience with Azure Batch and Kubernetes for large-scale distributed workloads.
  • Preferred: Knowledge of data governance and security best practices in Azure.
  • Preferred: Prior work in optimization problems, transport/logistics, or large-scale ML systems.
  • Preferred: Exposure to DevOps/SRE practices for performance monitoring and reliability.

Benefits

  • Health benefits and time off.
  • Equity after your first year.
  • Learning and promotion opportunities.
  • A fun, tight-knit team that celebrates wins together.

Interested in this position?

Apply directly on the company website

Apply Now

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