Data Scientist (ML Engineering)

TL;DR

Senior Data Scientist (ML Engineering): Architecting and deploying end-to-end ML infrastructure and high-impact ML solutions with an accent on MLOps best practices, governance, and scalable infrastructure. Focus on designing advanced CI/CD workflows, implementing model registry, and building monitoring systems for model drift.

Location: Onsite in Mexico City, CDMX

Company

hirify.global is a global AI-native technology solutions provider that develops cutting-edge, AI-powered digital products and platforms, partnering with clients to accelerate market entry.

What you will do

• Architect and deploy end-to-end ML infrastructure and high-impact ML solutions like forecasting engines, optimization models, and NLP use cases.
• Design and manage advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks.
• Implement model registry, versioning, lineage, and audit-compliant governance frameworks.
• Build and maintain monitoring systems to detect model drift and automate retraining cycles.
• Mentor MLOps engineers and collaborate with platform, data, and product teams for seamless integration.
• Drive adoption of MLOps best practices across containerization, observability, testing, and scalable infrastructure.

Requirements

• 5–8+ years of experience in ML Engineering, MLOps, or building large-scale ML systems.
• Strong expertise with Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
• Proven track record deploying ML solutions at enterprise scale with audit, governance, and monitoring layers.
• Experience designing ML infrastructure and CI/CD pipelines in cloud environments.
• Knowledge of hybrid or multi-cloud architectures.
• Bachelor’s degree required; Master’s preferred in Computer Science, Engineering, or related fields.

Nice to have

• Proficiency in AI tooling to optimize and augment day-to-day work, including drafting, analysis, research, or process automation.

Culture & Benefits

• Work in a high-impact environment with a commitment to professional development.
• Experience a flexible and collaborative culture with global opportunities.
• Be part of a vibrant community that fosters growth and impact.
• Receive a Total Rewards package (specific benefits determined by employment type and location).