Tilt (formerly Empower)

Lead Machine Learning Engineer, MLOps

Tilt (formerly Empower)

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AirflowAWSAzureCloudJenkinsKubernetesPySparkTerraform

About the role

  • Lead and help grow our ML Platform team
  • Design and implement scalable MLOps infrastructure for the ML lifecycle
  • Build and maintain feature stores to ensure consistent feature management
  • Automate ML workflows with CI/CD pipelines for models
  • Implement resource management and orchestration using Kubernetes, Airflow, or similar
  • Monitor and debug production ML systems with monitoring and alerting systems
  • Collaborate with data scientists and server engineers to understand infrastructure needs
  • Operationalize production ML models ensuring scalability, reliability, and monitoring

Requirements

  • 4+ years of experience in MLOps, ML Engineering, or DevOps for machine learning
  • Experience with machine learning algorithms and model development process
  • Strong expertise in cloud platforms (AWS or Azure) for ML deployment
  • Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins) for ML
  • Strong knowledge of model monitoring tools (e.g., Evidently AI, MLflow)
  • Hands-on experience with orchestration frameworks (e.g., Airflow, Kubeflow)
  • Familiarity with Pyspark and Databricks is a plus
  • Familiarity with infrastructure-as-code (Terraform, CloudFormation) is a plus
  • Able to effectively leverage AI-powered development tools (e.g., Cursor, Augment, Factory) to enhance productivity, code quality, and collaboration
  • Willingness to travel minimum 2 times a year for company offsites