Data Science Enablement Specialist | ML Platform & MLOps | Especialista

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Enablement Specialist | ML Platform & MLOps | Especialista in Brazil.

This role sits at the intersection of machine learning engineering, platform enablement, and developer advocacy, supporting the adoption of a large-scale ML platform across multiple data science and engineering teams. You will act as a key technical enabler, ensuring that ML practitioners can effectively build, deploy, and monitor models in production environments with consistency and best practices. The position combines deep MLOps expertise with strong communication and enablement skills, making it essential for scaling machine learning maturity across the organization. You will work closely with product, engineering, and data science teams to remove friction in adoption, improve platform usability, and define reference architectures. The environment is highly technical, collaborative, and fast-paced, with strong emphasis on production-grade ML systems. This is a high-impact role where your work directly influences how ML is built, deployed, and operated at scale.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Enablement Specialist | ML Platform & MLOps | Especialista in Brazil.

This role sits at the intersection of machine learning engineering, platform enablement, and developer advocacy, supporting the adoption of a large-scale ML platform across multiple data science and engineering teams. You will act as a key technical enabler, ensuring that ML practitioners can effectively build, deploy, and monitor models in production environments with consistency and best practices. The position combines deep MLOps expertise with strong communication and enablement skills, making it essential for scaling machine learning maturity across the organization. You will work closely with product, engineering, and data science teams to remove friction in adoption, improve platform usability, and define reference architectures. The environment is highly technical, collaborative, and fast-paced, with strong emphasis on production-grade ML systems. This is a high-impact role where your work directly influences how ML is built, deployed, and operated at scale.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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