MLOps Engineer

Requirements

Description and Requirements

Join our team as an MLOps Engineer at the Buenos Aires Center of Excellence!

At MetLife, we are looking for an MLOps Engineer to strengthen our operational and engineering capabilities within the Data & Analytics organization. In this role, you will ensure that our Machine Learning models and AI initiatives deliver scalable, reliable, and automated value across the LATAM region.

In this role, you will:

• Design, implement, and maintain end-to-end Machine Learning pipelines (data ingestion, training, validation, deployment, and monitoring).
• Operationalize AI/ML models, including LLM-based solutions, within the Azure ecosystem and corporate platforms. Azure cloud experience mandatory.
• Apply best practices for version control, CI/CD, automated testing, and model lifecycle governance.
• Manage infrastructure for model execution (containers, APIs, microservices, orchestration, autoscaling).
• Define and enforce standards for reproducibility, traceability, and model observability.
• Automate key steps of the ML lifecycle to accelerate robust and scalable model releases.
• Implement AIOps practices to monitor models and systems in production, including performance, drift, cost efficiency, and anomaly detection.
• Build and configure alerts, dashboards, and monitoring tools in partnership with IT and Data Management, DevOps.
• Manage the operational lifecycle of Machine Learning and generative models (LLMs), including fine-tuning, evaluation, RAG pipelines, and quality monitoring.
• Ensure compliance with internal policies on data governance and models, security, risk, privacy, and regulatory standards
  
  
  

To be successful in this role, you need:

• Academic background in Engineering, Computer Science, Information Systems, STEM, or related fields.
• Proven experience in MLOps, AIOps, data engineering for ML, or similar roles.
• Proven experience with platforms like Databricks, Domino, Azure ML Studio, MLflow.
• Hands-on experience deploying Machine Learning models into production.
• Strong knowledge of Python, Git, CI/CD, Docker, and model orchestration platforms (Azure ML, Kubernetes, ACI, AKS).
• Experience working with cloud-based pipelines (preferably Azure).
• Knowledge of SQL and experience working with data lakes and data warehouses.
• Familiarity with ML frameworks such as Scikit-learn, PyTorch, TensorFlow.
• Intermediate/advanced English skills (reading, writing, speaking).
• Experience with Agile/Scrum methodologies and tools such as Azure DevOps or GitHub.
• Understanding of monitoring, logging, observability, and system performance.
  
  
  

It is a plus if you also have:

• Knowledge of monitoring tools such as Grafana, Prometheus, App Insights, Kibana, MLflow Monitoring.
• Experience implementing feature stores, model registries, or large-scale ML architectures.
• Experience integrating APIs, microservices, or serverless architectures.
• Strong analytical thinking, communication skills, business acumen, and the ability to work with multidisciplinary teams.
  
  
  

Beneficios que Ofrecemos

Nuestros beneficios están diseñados para cuidar su bienestar holístico con programas para la salud física y mental, el bienestar financiero y el apoyo para las familias. Ofrecemos cobertura de atención médica para usted y su familia, descuentos en seguros para la protección del hogar, el automóvil y las mascotas, así como licencia parental. También ofrecemos membresía premium de gimnasio para usted y sus familiares directos, tiempo libre de voluntariado, descuentos con universidades específicas, viernes flexibles, reembolso de conectividad y mucho más.

Acerca de MetLife

Reconocida en la lista de la revista Fortune de las "Empresas más admiradas del mundo" de 2025 y en la lista de los 25 mejores lugares para™ trabajar en el mundo de Fortune para 2025, MetLife, a través de sus subsidiarias y afiliadas, es una de las principales empresas de servicios financieros del mundo; proporcionando seguros, anualidades, beneficios para empleados y gestión de activos a clientes individuales e institucionales.

Nuestro propósito es simple: ayudar a nuestros colegas, clientes, comunidades y al mundo en general a crear un futuro más seguro.Unidos por un propósito y guiados por nuestros valores fundamentales - Ganar Juntos, Hacer lo Correcto, Entregar Impacto sobre Actividad y Pensar en el Futuro - estamos inspirados para transformar el próximo siglo en los servicios financieros. En MetLife, es #AllTogetherPossible ¡Únete a nosotros!

At MetLife, we are committed to fostering diversity among employees, through non-discriminatory treatment for reasons of gender, gender expression, sexual orientation, religion, age, nationality, marital status, disability, physical or economic condition, HIV and embarrassment as a requirement for entry, permanence or ascension and there is equal employment opportunities.