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.

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📌 Ingeniero de MLOps - Automatización de IA (Chihuahua)
🏢 Placements24
📍 Chihuahua