Machine Learning Engineer (AI Engineering)

TL;DR

Machine Learning Engineer (AI Engineering): Guiding the development, automation, and governance of AI/ML solutions for internal customers. Focus on building and deploying end-to-end AI products using cloud, DevOps/MLOps, and application development.

Location: Guadalajara

Company

hirify.global is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

What you will do

• Script production-ready codes.
• Leverage GPU & CPU resources.
• Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud.
• Craft reusable tools and frameworks to monitor, optimize and maintain ML solutions.
• Design and implement data engineering pipelines (ETL).
• Understand business problems and collaborate within the team.

Requirements

• 6+ years of experience as a MLE or similar roles.
• Experience working with large data sets.
• Excellent programming skills (Python preferred).
• Experience with containerization (Docker) and container orchestration using Kubernetes.
• Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred).
• Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues.
• Experience designing, building, and maintaining ETL workflows and data pipelines, using orchestration tools like Apache Airflow, Kubeflow, or similar.
• Proficiency with DevOps practices, including CI/CD, Git-based workflows.
• Comfortable working in Unix/Linux environments.
• Hands on experience of designing, building, and supporting RESTful APIs.
• Proficient in English.

Culture & Benefits

• Flexibility in how, when, and where people get their work done.
• Opportunities to achieve valuable change.
• Deepen knowledge and learn new skills.