MLOps Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sequoia Connect

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 Description

• Monitor AI models and agents in production for performance, latency, errors, availability, model drift, and data distribution changes • Detect and triage production incidents related to AI behavior • Execute rollbacks, throttling, or model disabling when thresholds are breached • Support deployment, versioning, and release of AI models and agents using CI/CD-style pipelines • Maintain registries covering model ownership and lineage • Ensure AI systems adhere to Responsible AI principles • Maintain audit trails and support fairness, bias, explainability, and transparency monitoring in production • Integrate AI systems with monitoring, logging, and alerting platforms • Collaborate with product, engineering, and data teams to standardize AI Ops patterns

🎯 Requirements

• Strong Python skills and experience supporting ML or LLM-based systems • Deep understanding of Model Ops / MLOps, especially the operational phase after deployment • Experience with monitoring and logging systems • Experience with CI/CD pipelines • Experience with containerized/containerised deployments, including Docker-based runtimes • Familiarity with cloud platforms, with Azure preferred • Production troubleshooting experience • Ability to work cross-functionally with product, data science, engineering, and risk teams • Resilience, emotional intelligence, and focus on agile delivery • Deep understanding of the difference between coding and engineering • Advanced oral English • Advanced Spanish • Experience with AI

🏖️ Benefits

• Access to global career opportunities and exposure to high-impact projects within an international network • Flexible work arrangement / remote work • Opportunity to work for an award-winning, sustainable employer • Work on end-to-end digital transformation projects for global leaders