Data Engineering Consultant

• 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.
• Youll 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.

Caderno Nacional