Ingeniero MLOps Remoto | Pipelines de ML y CI/CD

Placements24; Acapulco; Hybride; MXN 900 000 - 1 300 000; Plein temps

Avantages offerts par ce poste

Fully remote

Competitive salary

Comprehensive benefits

Online courses

Conferences

Internal workshops

Résumé du poste

Placements24 is seeking a Machine Learning Engineer focused on MLOps to join their fully remote team. You will design and maintain scalable ML pipelines, optimize training, deployment, and monitoring, and ensure robust production systems for AI solutions deployed worldwide.

The ideal candidate has 3+ years in software engineering or ML engineering, experience with CI/CD, Docker, Kubernetes, cloud services, and Python.

Qualifications

• 3+ years of experience in software engineering, DevOps, or ML engineering with a focus on MLOps.
• Proven experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit‑learn).
• Knowledge of monitoring tools and techniques for ML systems.
• Proficiency in programming languages such as Python.
• Understanding of machine learning concepts and the ML lifecycle.
• Strong problem‑solving and scripting skills.

Responsabilités

• Design, build, and maintain robust and scalable MLOps pipelines for automated ML workflows.
• Implement tools and processes for CI/CD/CT of ML models.
• Develop and manage infrastructure for model training, deployment, and serving.
• Implement monitoring solutions to track model performance, data drift, and system health in production.
• Automate model retraining and versioning processes.
• Collaborate with data scientists to streamline model development and experimentation.
• Ensure security and compliance requirements are met for ML systems.
• Troubleshoot and resolve issues related to ML model deployment and operationalization.
• Optimize ML pipelines for cost, performance, and scalability.
• Document MLOps processes, infrastructure, and best practices.

Connaissances

Python proficiency

Problem solving

Scripting

ML concepts & lifecycle

Team collaboration

Formation

Bachelor's or Master's in CS/Engineering

Outils

Docker

Kubernetes

CI/CD tools (Jenkins/GitLab CI/GitHub Actions)

Cloud platforms (AWS/GCP/Azure)

Description du poste

Placements24 is seeking a Machine Learning Engineer focused on MLOps to join their fully remote team. You will design and maintain scalable ML pipelines, optimize training, deployment, and monitoring, and ensure robust production systems for AI solutions deployed worldwide.

The ideal candidate has 3+ years in software engineering or ML engineering, experience with CI/CD, Docker, Kubernetes, cloud services, and Python.