We are seeking a Senior MLOps Engineer to join a major company that aggregates broad and deep property data and generates analytics informing smart decision-making and property-level insights relied upon by hundreds of thousands of users in the real estate industry.
In this role, you will lead the transformation of systems to the cloud, driving cost optimization, improved availability and reliability through architectural improvements, and enhanced analytics with better TTM. You will own and evolve the end-to-end process of taking machine learning models to production, as well as establishing best practices for maintaining, monitoring, and continuously improving them. You will also mentor junior engineers, define technical standards, and collaborate with cross-functional stakeholders to shape the ML platform strategy.
ResponsibilitiesDefine and govern the ML systems lifecycle across multiple teams and projectsTranslate complex business objectives into well-framed ML problems and technical roadmapsArchitect scalable, secure,



and cost-efficient data solutions tailored to diverse use casesOversee data preparation and processing strategies, ensuring quality, lineage, and reproducibilityLead model training and experimentation initiatives, establishing frameworks and standards for the teamDesign, build, and automate robust, reusable ML pipelines and CI/CD workflowsDeploy models to production systems with a focus on scalability, security, and performanceMonitor, optimize, and maintain models in production, implementing advanced observability, drift detection, and automated remediationMentor and provide technical leadership to junior and middle engineersCollaborate with Data Science, Engineering, and Product teams to align ML initiatives with business goalsDrive architectural decisions and contribute to the long-term MLOps strategyRequirements3+ years of experience in an MLOps or similar roleAdvanced proficiency in Python, with strong software engineering practicesDeep expe

📌 Senior MLOps Engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México