MLOps Engineer

A leading company in Mexico specializing in accounting software is looking for a highly skilled MLOps Engineer to join the team.

Requirements:

4+ years of experience in DevOps, Data Engineering, or MLOps.
Fluent technical English.
Practical experience with MLOps tools such as MLflow, Kubeflow, Metaflow, SageMaker, or Vertex AI.
Experience managing cloud infrastructure on AWS, GCP, or Azure.
Experience configuring and maintaining distributed training environments with GPUs.
Experience with tools such as Ray, Flyte, Apache Airflow, or Prefect (Nice to Have).

Knowledge and Skills:

Advanced knowledge of Docker, Kubernetes, Helm, and CI/CD (GitHub Actions, GitLab CI, Jenkins).
Knowledge of data storage and versioning (DVC, LakeFS, DeltaLake).
Familiarity with event-driven architectures, microservices, and REST/gRPC APIs.
Knowledge of Alibaba Cloud and its ecosystem for AI/ML (PAI, ACK, OSS, etc.) (Nice to Have).

Responsibilities:

Design and implement pipelines for training, validating, and deploying machine learning models (CI/CD for models).
Manage and optimize infrastructure for distributed training, parallel processing, and efficient storage.
Collaborate with Data Scientists to operationalize experimental notebooks and turn them into productive services.
Integrate models with APIs and backend architectures, ensuring performance and security.
Define standards for reproducibility, validation, and automated testing throughout the ML lifecycle.

Mlops Engineer - Remote Eligible