Ingeniero de MLOps - Automatización de IA

Placements24; Chihuahua; On-site; MXN 420,000 - 660,000; Full time

Benefits offered by this job

Health and dental insurance

Retirement savings plan

Paid vacation and holidays

Job summary

Placements24 is seeking an experienced MLOps Engineer to join our Ciudad Juárez team on-site. You will design, build, and maintain CI/CD pipelines for ML models and manage the infrastructure to train and serve them in production.

You will work closely with data scientists and software engineers to ensure scalable, reliable AI deployments, implement monitoring, and stay current with MLOps best practices. The role emphasizes collaboration in an on-site team environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps or MLOps roles.
• Proven experience in building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with scripting languages (e.g., Python, Bash).
• Understanding of machine learning concepts and workflows.
• Experience with infrastructure as code tools (e.g., Terraform, Ansible) is a plus.
• Excellent problem-solving and debugging skills.
• Strong collaboration and communication skills for an on-site team environment.

Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, monitoring, and management of ML models in production environments.
• Develop and manage infrastructure for training and serving ML models, utilizing cloud platforms (e.g., AWS, Azure, GCP).
• Implement monitoring and alerting systems to track model performance and system health.
• Collaborate with data scientists to optimize models for production deployment.
• Ensure the security, scalability, and reliability of ML infrastructure.
• Troubleshoot and resolve issues related to ML pipelines and production systems.
• Stay up-to-date with the latest MLOps tools, technologies, and best practices.

Skills

CI/CD pipelines

Cloud platforms

Containerization

Scripting

Infrastructure as Code

ML concepts

CI/CD tooling

On-site collaboration

Education

Bachelor's degree in CS/Engineering or related field

Tools

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

Our client is looking for a skilled MLOps Engineer to join their innovative technology team in Ciudad Juárez, Chihuahua . This is an on-site role focused on building and maintaining robust infrastructure and pipelines for machine learning model deployment and operation. You will play a critical role in bridging the gap between machine learning development and production, ensuring the scalability, reliability, and efficiency of our AI systems. This position requires a strong understanding of both machine learning concepts and software engineering best practices, particularly in areas of CI/CD, automation, and cloud infrastructure. You will work closely with data scientists and software engineers.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.


• Automate the deployment, monitoring, and management of ML models in production environments.


• Develop and manage infrastructure for training and serving ML models, utilizing cloud platforms (e.g., AWS, Azure, GCP).


• Implement monitoring and alerting systems to track model performance and system health.


• Collaborate with data scientists to optimize models for production deployment.


• Ensure the security, scalability, and reliability of ML infrastructure.


• Troubleshoot and resolve issues related to ML pipelines and production systems.


• Stay up-to-date with the latest MLOps tools, technologies, and best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.


• 3+ years of experience in DevOps or MLOps roles.


• Proven experience in building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).


• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).


• Familiarity with scripting languages (e.g., Python, Bash).


• Understanding of machine learning concepts and workflows.


• Experience with infrastructure as code tools (e.g., Terraform, Ansible) is a plus.


• Excellent problem-solving and debugging skills.


• Strong collaboration and communication skills for an on-site team environment.

Benefits

• This on-site position in Ciudad Juárez, Chihuahua offers a competitive salary, excellent health and dental insurance, and a comprehensive retirement savings plan.


• We provide a dynamic work environment with ample opportunities for professional growth and skill development in the rapidly evolving field of MLOps and AI.


• Employees benefit from regular team events, access to training resources, and a culture that fosters innovation and collaboration.


• Paid vacation and holiday leave are also provided, ensuring a healthy work-life balance within the company.