MLOps Data Engineering Consultant

4 semanas atrás

Brasil Tenth Revolution Group Tempo inteiro

We are partnering with a leading US-based data consultancy to find a talented MLOps Data Engineering Consultant to join their remote-first team. This is a full-time, fully remote role open to candidates located in Latin America, supporting a range of client engagements focused on deploying machine learning models into production.

About the Role:

Our client is looking for a consultant who excels at operationalizing ML workflows and building scalable data infrastructure. While prior experience designing and building ML models is a plus, the core focus is on deployment and engineering. You'll work closely with data scientists and engineers to ensure robust, cloud-native ML pipelines.

Key Responsibilities:

  • Deploy and maintain ML models in production environments.
  • Build and optimize data workflows using Python and SQL.
  • Collaborate with cross-functional teams to support scalable ML operations.
  • Work primarily within AWS and Snowflake environments.
  • Utilize AWS SageMaker for model deployment and lifecycle management.
  • Contribute to multiple client projects across industries and tech stacks.

Required Skills:

  • Strong experience with Python and SQL.
  • Hands-on expertise with AWS, especially SageMaker.
  • Familiarity with Snowflake as a data platform.
  • Solid understanding of MLOps principles and CI/CD for ML.
  • Comfortable working independently in a remote consulting environment.

Nice to Have:

  • Experience designing and building ML models.
  • Exposure to other cloud platforms (e.g., GCP, Azure).
  • Familiarity with Docker and container orchestration.

Why This Role?

  • Join a dynamic consultancy with a strong reputation in data and AI.
  • Work remotely with a global team of experts.
  • Engage in diverse, high-impact projects using modern tech stacks.

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