Senior/Staff MLops Engineer, APAC

Join the Tilt team
At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, were not just changing how people access financial products were creating a new credit system that backs the working, whatever theyre working toward.
The Opportunity, Machine Learning Engineer, APAC
As an Machine Learning Engineer focusing on MLOps, you will play a pivotal role in operationalising our ML models, ensuring they are scalable, reliable, and easy to monitor. Working in a small team of Data Scientists and Data Engineers in APAC, youll build feature stores for model development, facilitate model refit/retrain iterations, enhance model deployment (CI/CD) pipeline, as well as strengthen model monitoring.
Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year.
What Youll Be Doing

• 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.
  

Why youre a great fit

• 3+ years of experience in MLOps, ML Engineering, or DevOps for machine learning.
• Experience with machine learning algorithms and model development process.
• Demonstrated programming/software engineering experience.
• 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.
• Able to effectively leverage AI-powered development tools (e.g., Cursor, Augment, Factory) to enhance productivity, code quality, and collaboration.
  

Dont meet every qualification We care about potential over your past. If youre bringing ambition and drive to what were building, we want to hear from you.
What Youll Get At Tilt

• Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. Youll get started with a WFH office reimbursement.
• Competitive pay: Were big on potential, and its 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 were 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. (Weve visited Vail, San Diego, and Mexico City, to name a few.)
• Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.
  

The Tilt Way
Were looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable brilliant jerks need not apply. Were in this together, working to expand access to fair credit and prove that people are incredible. When you join us, its not just another day at the [virtual] office, youre helping millions of hardworking people reach better financial futures.
Youre pushing ahead in your career We can get behind that. Join us in building the credit system that people deserve.