Jr. Associate MLOps Engineer - (Python/GCP/Vertex AI)
On-siteGuadalajara, Jalisco, Mexico
Job Summary
Build and maintain automation tools for ML workflow orchestration and model deployment using CI/CD pipelines. Deploy, schedule, and manage machine learning models via GCP services like Vertex AI pipelines while automating infrastructure provisioning with Terraform. Write clean Python code, monitor production systems, and resolve issues related to ML workflows and deployments. Collaborate with data scientists to improve development workflows, develop reporting pipelines using BigQuery and Looker, and support model scaling and performance optimization. Adhere to security and compliance best practices in cloud environments. This role requires 1–3 years of MLOps experience, strong Python proficiency, and familiarity with Kubernetes. Located in Mexico, this position offers competitive compensation and benefits.
Required Qualifications
- 1–3 years of experience in MLOps, DevOps, or a related engineering role
- Hands-on experience with GCP, particularly Vertex AI or similar platforms such as Amazon SageMaker
- Experience with ML model deployment, scheduling, and monitoring in production environments
- Strong proficiency in Python
- Familiarity with containerization and orchestration tools such as Kubernetes
- Basic understanding of cloud platforms (e.g., AWS, GCP) and distributed systems
- Basic experience with reporting and analytics tools such as BigQuery, Looker, Tableau, or SQL
- Understanding of software development best practices, including unit testing and integration testing
- Familiarity with security best practices in cloud-based and containerized environments
- Bachelor's degree in Computer Science, Engineering, or a related field
- All submitted applications MUST HAVE the resume in ENGLISH
Desired Qualifications
- Knowledge of Infrastructure as Code tools such as Terraform
- Exposure to eCommerce or digital product environments
- Passion for leveraging GenAI tools to automate processes and improve efficiency
- Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment
- Ability to collaborate effectively with cross-functional teams including data scientists and engineers
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.