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MLOps Engineer Senior

9 hours, 10 minutes 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
Apply Now
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 23

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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