Data Engineering Consultant

Data Engineering Consultant - Detalhes da Vaga. ● 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. ●. Requisitos para participar do processo. ● . O que oferecemos.