Hiring of
MLOps/Platform Engineer

Job Overview

We're seeking an MLOps/Platform Engineer to build and maintain the infrastructure that powers our machine learning systems. You'll work on ML pipelines, cloud infrastructure, and platform tools that enable our data science team to deploy models at scale.

Key Responsibilities

• ML Infrastructure: Design and maintain ML training and inference pipelines.
• Cloud Platform: Build and manage cloud infrastructure on AWS using IaC.
• Kubernetes: Deploy and manage containerized workloads on Kubernetes.
• Automation: Automate CI/CD pipelines for ML model deployment.
• Monitoring: Implement monitoring and alerting for ML systems.
• Collaboration: Work with data scientists to productionize ML models.

Qualifications & Skills

• Experience: 3-5 years in DevOps, SRE, or MLOps roles.
• Cloud: Strong experience with AWS (EKS, SageMaker, Lambda).
• Kubernetes: Hands-on experience with Kubernetes and Helm.
• IaC: Proficiency with Terraform or AWS CDK.
• Python: Strong Python skills for automation and tooling.
• ML Familiarity: Understanding of ML workflows and frameworks.

Why Join Us?

• Build infrastructure for cutting-edge ML systems.
• Work with modern cloud-native technologies.
• Remote-first with async communication.
• Competitive salary and equity.
• Continuous learning and growth.

How to Apply

Ready to take the next step? Send your resume and portfolio (if applicable) to careers@anvilapps.co. Make sure to include a cover letter explaining why you'd be a great fit for the role and our team.