
Fintech • B2C • Finance
Tilt is a financial technology company that provides cash advance, lines of credit, and credit card services aimed at empowering customers financially. With an emphasis on accessibility, Tilt offers flexible repayment plans and eligibility irrespective of a customer's credit history, enabling individuals to qualify based on their real-time financial habits. The platform is user-friendly, boasting positive customer experiences and a high rating, making it a convenient option for those seeking to manage their finances and build credit effectively.
201 - 500 employees
💳 Fintech
👥 B2C
💸 Finance
November 21

Fintech • B2C • Finance
Tilt is a financial technology company that provides cash advance, lines of credit, and credit card services aimed at empowering customers financially. With an emphasis on accessibility, Tilt offers flexible repayment plans and eligibility irrespective of a customer's credit history, enabling individuals to qualify based on their real-time financial habits. The platform is user-friendly, boasting positive customer experiences and a high rating, making it a convenient option for those seeking to manage their finances and build credit effectively.
201 - 500 employees
💳 Fintech
👥 B2C
💸 Finance
• 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.
• 3+ 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, Azure or GCP) for ML deployment. • Strong knowledge of model monitoring tools (e.g., Evidently AI, MLflow). • Hands-on experience with orchestration frameworks • 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.
• Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement. • Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. • Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. • Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly. • Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.) • Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.
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