AI/ML Governance Specialist

Job not on LinkedIn

🔥 19 hours ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EX Squared

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

EX Squared is a digital product and experience consultancy that helps enterprises move AI and digital initiatives from ambition into production. Since 2001 the firm has delivered strategy, UX/UI and multi-channel digital experiences plus engineering and IT infrastructure work, and specializes in GenAI, machine learning, computer vision, and NLP. EX Squared is a certified Optimizely and Sitecore partner and focuses on building enterprise-scale digital products and advanced AI-driven solutions for large B2B clients.

📋 Description

• Operationalize AI/ML and MLOps governance requirements across the complete model lifecycle • Translate governance requirements into practical controls, procedures, templates, checklists, and documentation • Support governance activities across model intake, development, validation, registration, deployment readiness, production monitoring, change management, and retirement • Partner with Data Scientists, AI Engineers, MLOps Engineers, Product Owners, Risk, and Governance teams • Maintain model documentation, governance records, approvals, inventories, and audit-ready evidence • Help ensure appropriate model validation, versioning, traceability, monitoring, and lifecycle controls • Identify governance gaps and risks and coordinate appropriate remediation activities • Support the continuous improvement and automation of governance processes within AI/ML workflows • Contribute to governance practices for Generative AI, LLMs, and Agentic AI solutions

🎯 Requirements

• 3+ years of relevant experience across AI/ML, MLOps, Model Governance, Model Risk, Responsible AI, Technology Risk, or related areas • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or a related field, or equivalent professional experience • Strong understanding of the Machine Learning lifecycle, from development and validation through production and monitoring • Familiarity with AI Governance, Responsible AI, Model Risk Management, or similar governance frameworks and controls • Experience with technical or operational controls, documentation, validation, compliance, or audit evidence • Ability to translate governance or risk requirements into actionable technical processes • Experience collaborating across technical and non-technical teams • Strong communication, organization, and documentation skills • Advanced English • Experience with Vertex AI or similar ML platforms such as AWS SageMaker, Azure Machine Learning, Databricks, or MLflow • Experience with model registries, inventories, lineage, monitoring, versioning, or lifecycle management • Experience automating governance controls within MLOps pipelines • Exposure to regulated or highly controlled environments • Experience with governance, evaluation, risk, or safety practices for Generative AI, LLMs, or Agentic AI

🏖️ Benefits

• Long-term, full-time opportunity • 100% remote work in Costa Rica • Private medical insurance • Asociación Solidarista • Birthday day off • Employee recognition program • Professional learning and development platforms • Opportunity to contribute to enterprise-level AI/ML initiatives with global teams