Work-Life Benefits
- Unlimited PTO
- Medical benefit contributions in congruence with local laws and type of employment agreement
What You'll Do
- Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
- Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
- Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
- Escale the Data Platform: Collaborate with Data Engineers to evolve our data lake and ETL architectures, ensuring our data platform remains robust and future-proof.
- Ensure System Health: Lead the monitoring and observability strategy for all production models, ensuring reliability and performance through proactive maintenance.
- Shape Technical Strategy: Act as a key stakeholder in architectural decisions, helping the broader team define the strategy for our data products and event-driven architectures.
Who You Are:
- A Proven Builder: You have 5+ years of hands-on experience in ML Engineering, with a significant focus (3+ years) on the data engineering side of the house.
- Cloud Native: You are an expert in the AWS ecosystem (Sagemaker, DynamoDB) and thrive using Infrastructure as Code tools like Terraform, CDK, or CloudFormation.
- Automation Minded: You have a deep understanding of containerization and orchestration, specially using Docker and Kubernetes to deploy scalable workloads.
- Technical Polymath: You possess a deep understanding of database systems, ETL architecture, and advance SQL, alongside mastery of Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Strategic Collaborator: You excel at working across functional lines - Translating Data Science needs into engineering requirements and mentoring others on best practices.
- Big Data Enthusiast: You ideally have experience with Snowflake, Databricks, or streaming technologies like Kafka to handle event-base data at scale.
Top Skills
What We Do
TrueML makes financial technology that prioritizes customer experience and revolutionizes the experience of consumers seeking financial health. We’re a team of inspired data scientists, financial services industry experts, and customer experience fanatics creating experiences that serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring to ensure nobody gets locked out of the financial system.
After more than 10 years in business, TrueML is excited to be expanding its footprint internationally. We are a growing, geographically diverse team with employees in 30 U.S. states and 7 different countries, with our key talent hub in LATAM. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference alongside hundreds of other inspired individuals.
Why Work With Us
Our functional teams are a diverse mix of employees from different backgrounds and geographies, with each individual bringing unique perspectives and experiences that encourage increased innovation in our products and services. Join TrueML and make a difference alongside hundreds of other inspired individuals doing impactful work.
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TrueML Offices
Remote Workspace
Employees work remotely.
TrueML is excited to be a remote-first company with team members across the US, Canada, and several countries in LATAM (Mexico, Argentina, Dominican Republic, and Costa Rica). Our teams frequently digitally collaborate & socialize across borders.
