Data Engineer Manager (AI)

Location: Bogotá, Colombia

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Lead, mentor, and develop a team of Data Engineers responsible for data and ML infrastructure.
• Define and implement scalable cloud-based MLOps approaches and cloud data architecture.
• Oversee data pipelines, ML infrastructure, deployment, monitoring, automation, and CI/CD.
• Partner with Data Science leadership to move models efficiently from development into production.
• Define engineering standards, reusable patterns, and long-term platform foundations for ML and data engineering.
• Help establish the technical foundation for agentic architecture and future AI initiatives while balancing delivery with platform investments.

Requirements

• Significant professional experience in Data Engineering.
• Strong hands-on experience with cloud MLOps and production-grade ML lifecycle practices.
• Proven experience leading and mentoring Data Engineering teams.
• Strong understanding of cloud data architecture, ML infrastructure, model deployment, monitoring, versioning, automation, and CI/CD.
• Experience making technical and architectural decisions for data and ML platforms.
• Strong communication, stakeholder management, engineering fundamentals, and ability to balance strategy with hands-on delivery.

Nice to have

• Professional experience with Google Cloud Platform.
• Experience with agentic architectures or AI engineering.
• Experience operationalizing machine learning models with Data Science teams.
• Experience defining long-term data and ML platform strategies.

Culture & Benefits

• Flexible working options.
• Access to AWS, Databricks, Snowflake, and AI learning paths, plus study plans and certifications.
• Udemy Business access and English lessons.
• Career development plans and mentorship programs.
• Company-provided equipment and milestone rewards.
• Benefits may vary by location in LATAM.