Data Engineering Consultant

Há 6 dias

São Paulo, 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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