TrueML

TrueML

TrueML develops innovative financial technology solutions that enhance customer experience and aim to improve the financial health of consumers by addressing their unique needs and preferences.

Internet Software & Services
51-250
Founded 2013

Description

  • Own the end-to-end lifecycle of the machine learning infrastructure and production environment.
  • Partner with Data Science to productionize experimental models and algorithms.
  • Design and maintain offline and online feature stores for production decision-making.
  • Collaborate with Data Engineers to evolve the data lake, ETL, and broader data platform.
  • Lead monitoring, observability, and proactive maintenance for production models.
  • Contribute to architectural decisions for data products and event-driven systems.
  • Build scalable pipelines that turn raw data into real-time decisions.
  • Translate Data Science needs into engineering requirements and support best practices across teams.

Requirements

  • 5+ years of hands-on experience in Machine Learning Engineering.
  • 3+ years of experience focused on data engineering.
  • Strong experience with AWS services, including SageMaker and DynamoDB.
  • Experience with Infrastructure as Code tools such as Terraform, CDK, or CloudFormation.
  • Deep understanding of containerization and orchestration using Docker and Kubernetes.
  • Strong knowledge of database systems, ETL architecture, and advanced SQL.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with Snowflake, Databricks, or Kafka for large-scale or streaming data is preferred.

Benefits

  • Unlimited PTO.
  • Medical benefit contributions in accordance with local laws and the type of employment agreement.
  • Remote work in Argentina or Mexico.
  • Salary range of $70,000 to $87,000 per year.

Interested in this position?

Apply directly on the company website

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