IC3 – MLOps Engineer

Job Description

Spin, FEMSA’s business unit, is seeking an IC3 – MLOps Engineer to operationalize machine learning workflows. The MLOps Engineer will build scalable, reliable, and automated systems that bridge the gap between development and production environments. The ideal candidate will ensure that machine learning models are efficiently deployed, monitored, and maintained, while optimizing infrastructure to support seamless model performance and scalability in dynamic, real-world applications.

Role involves:

• Deploying machine learning models into production environments.
• Developing and maintaining automated pipelines for model training, testing, and deployment.
• Implementing monitoring and alerting systems to track model performance and identify data drift.
• Managing the containerization and orchestration of machine learning workloads using tools such as Docker and Kubernetes.
• Integrating machine learning workflows into existing CI/CD pipelines.
• Monitoring and troubleshooting complex data and infrastructure issues.

Requirements:

• Minimum 3+ years of experience as an MLOps Engineer, Data Scientist, or Data Engineer.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or equivalent experience.
• Proficiency in Python and at least one additional programming language (Java, Scala preferred).
• Strong experience with containerization tools (Docker) and orchestration platforms (Kubernetes).
• Expertise in cloud platforms (GCP, AWS, or Azure) and cloud-based data services.
• Knowledge of DevOps practices, including CI/CD pipelines and version control systems (Git).

Role offers:

• Opportunity to work with a dynamic and fast-paced environment.
• Chance to contribute to the evolution of the organization’s MLOps capabilities.
• A positive, inclusive, and dynamic work environment that aligns with the company's values and culture.