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# Machine Learning Engineer

- **Company:** Gerawan Farming LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $70,000.0 - $105,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Software Design Patterns, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Software Architecture, Software Engineering, Pulumi, Cloudformation, Kubernetes, Machine Learning Operations, Domain Driven Development, Terraform, Software Version Control, Databricks, Microservices
- **Published:** September 22, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2wis1wxq

## About the Role

* A robust programming background, spotlighting your prowess in Python;
 * A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
 * Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
 * A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;Exceptional command of the English language.

Nice-to-Have

 * Alongside the essential prerequisites, we're excited to find experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow), designing and operating cloud-based systems, preferably within AWS or Databricks, familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools.

## Description

* Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
 * Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
 * Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job;
 * Growing, reading, and experimenting to always be up to speed with emerging technology.


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