Tilt is looking to operationalize its ML platform, including production ML models, to ensure scalability, reliability, and ease of monitoring. The company aims to build a new credit system that recognizes real potential beyond traditional credit scores by leveraging machine learning.
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.
Responsibilities
- Design and Implement Scalable MLOps Infrastructure: Develop and maintain the infrastructure required for the entire machine learning lifecycle, from data ingestion and model training to deployment and monitoring.
- Build and Maintain Feature Stores: Design and implement robust feature stores to ensure consistent and efficient feature management across all ML models
- Automate ML Workflows: Develop and implement CI/CD pipelines for machine learning models, automating the deployment and monitoring process.
- Implement Resource Management and Orchestration: Utilize tools like Kubernetes, Airflow, or similar technologies to effectively manage and orchestrate ML resources.
- Monitor and Debug Production ML Systems: Establish comprehensive monitoring and alerting systems to ensure the health and performance of deployed ML models.
- Collaborate with Data Scientists and Server Engineers: Work closely with data scientists and server engineers to understand their infrastructure needs and provide effective solutions.
Other
- Lead and help grow our ML Platform team
- Travel for company offsites is expected at a minimum 2 times a year.
- Able to effectively leverage AI-powered development tools (e.g., Cursor, Augment, Factory) to enhance productivity, code quality, and collaboration.
- We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you.
- We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally.
