Jobs at TrueML

The Client Services Coordinator manages client communications, ensures data integrity, assists with administrative tasks, and supports collections efforts.

The Senior Data Engineer will design and build scalable data lakehouse solutions, integrate data pipelines, develop data models, manage AWS infrastructure, and collaborate with teams to enhance the data platform.

As a Collections Specialist, you will manage calls to help consumers achieve financial stability, resolve account discrepancies, document communications, and meet daily performance targets in a supportive team environment.

The Manager of Quality Engineering leads a team to innovate testing practices, embed quality in the SDLC, and integrate AI in automation frameworks.

The Senior Strategic Analyst will diagnose performance issues, execute strategies for recovery, influence product development, and communicate insights effectively across teams.

Lead and manage the data engineering team, architect resilient data infrastructure, ensure data quality, and enable accessible data for business stakeholders.

As an Account Servicing Specialist, you will manage account data integrity, solve discrepancies, ensure financial accuracy, and communicate with clients while optimizing processes.

The VP of Software Engineering leads the engineering team, oversees product development, ensures scalability and security, and builds a high-performing organization.

As a Senior DevOps Engineer, you will enhance our cloud-native infrastructure, manage IaC with Terraform, and optimize CI/CD processes, focusing on AWS and Kubernetes operations.

The Client Manager will manage a portfolio of clients, driving performance through data analysis, problem-solving, and strategic partnerships to enhance client success.

As a Collections Specialist, you will assist consumers in resolving their financial issues through compassionate communication, managing account interactions, and developing payment solutions while adhering to compliance standards.

As a Technical Support Engineer, you'll investigate technical issues, provide detailed bug reports, empower teams through documentation, and utilize AI tools for efficiency.

The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.

Lead infrastructure and platform engineering for cloud architecture, CI/CD standards, and scalability of machine learning products, while managing a team of DevOps engineers.