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MLOps Engineer Senior

1 week, 6 days ago
Anywhere
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
Apache Spark AWS Azure CI/CD Databricks dbt Deep Learning Docker Generative AI Git Kubernetes Machine Learning MLflow MLOps Python SQL
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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
View All Jobs 16

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, registries, governance, and lifecycle traceability with MLflow.
  • Develop and expose scalable, high-performance model-serving APIs.
  • Orchestrate workflows and jobs on Databricks.
  • Containerize ML applications with Docker and support Kubernetes-based deployments.
  • Implement model monitoring and observability practices.
  • 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.
  • Strong 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 deploying machine learning models to production at scale.
  • Strong understanding of MLOps and machine learning architecture principles.
  • Hands-on experience with Databricks Workflows, Jobs, and Repos (preferred).
  • Experience with AWS or GCP and Kubernetes in production environments (preferred).

Benefits

  • Remote-first culture with work-from-anywhere flexibility.
  • Company-provided English lessons.
  • Wellhub or sports club stipend.
  • Full coverage for AWS, dbt, Google Cloud, Azure, and Databricks certifications.
  • Food credits through Pedidos Ya.
  • Birthday off plus an additional vacation week.
  • Referral bonuses.
  • Annual team trip.
  • Monthly childcare reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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