Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the general digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a integral IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™. " With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing. This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong. We are currently searching for a MLOps Engineer / ML Platform Engineer: The Challenge (Responsibilities) - Monitor AI models and agents in production for performance, latency, errors, and availability, tracking statistical health indicators such as model drift and data distribution changes. - Detect and triage production incidents related to AI behavior, executing rollbacks, throttling,



or model disabling where thresholds are breached. - Support deployment, versioning, and release of AI models and agents using CI/CD-style pipelines and maintain registries covering model ownership and lineage. - Ensure AI systems adhere to Responsible AI principles, maintaining audit trails and supporting fairness, bias, explainability, and transparency monitoring in production. - Integrate AI systems with monitoring, logging, and alerting platforms, collaborating with product, engineering, and data teams to standardize AI Ops patterns. Your Profile (Requirements) - Strong Python skills and experience supporting ML or LLM-based systems.

- Deep understanding of Model Ops / MLOps, focusing on the operational phase after deployment. - Experience with monitoring and logging systems, CI/CD pipelines, and containerized deployments (e. g. , Docker-based runtimes). - Ability to work cross-functionally with product, data science, engineering, and risk teams. - High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery. - Technologist DNA: A deep understanding of the difference between "coding" and "engineering. " Desired - Familiarity with cloud platforms (Azure preferred) and production troubleshooting. - Familiarity with cloud-native foundations or AI coding assistants. Languages - Advanced Oral English: For seamless collaboration with global teams. - Advanced Spanish. Work Arrangement We value flexibility to support your lifestyle. This position is available as: - Remote If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page : Requirements Strong Python skills and experience supporting ML or LLM-based systems; Understanding of Model Ops / MLOps, especially the operational phase after deployment; Experience with monitoring and logging systems, CI/CD pipelines, and containerised deployments (e. g.

📌 MLOps Engineer (México)
🏢 Sequoia Connect
📍 México