MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017

Description

  • Industrialize, deploy, and scale machine learning models in production environments.
  • Design and maintain end-to-end training, inference, and retraining pipelines.
  • Build and maintain CI/CD pipelines for reliable ML workflow releases.
  • Implement model tracking, versioning, governance, and registries using MLflow.
  • Develop and expose scalable APIs for model serving.
  • Orchestrate workflows and jobs using Databricks Workflows, Jobs, and Repos.
  • Containerize ML applications with Docker and support Kubernetes-based deployments.
  • Implement model monitoring and observability across the ML lifecycle.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to align technical solutions with business needs.
  • Promote MLOps best practices and modern ML architecture across the team.

Requirements

  • Advanced Python and SQL skills.
  • Experience with Spark or PySpark.
  • Solid experience with CI/CD pipelines and Git.
  • Experience with MLflow for tracking, registry, and deployment.
  • Experience with Docker and working knowledge of Kubernetes concepts.
  • Experience with Azure Cloud.
  • Experience implementing model monitoring and observability practices.
  • Strong understanding of MLOps and machine learning architecture principles.
  • Experience deploying machine learning models to production at scale.
  • Hands-on Databricks experience; Kubernetes production experience and AWS or GCP experience are preferred.

Benefits

  • Remote-first culture with work-from-anywhere flexibility.
  • Full coverage for AWS, dbt, Google Cloud, Azure, and Databricks certifications.
  • Birthday off plus an additional vacation week (Mutt Week).
  • Referral bonuses.
  • Monthly Maslow benefits marketplace credits.
  • Annual company trip.

Interested in this position?

Apply directly on the company website

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