Remote MLOps Engineer

Description:

• A leading company in Mexico specializing in accounting software is looking for a highly skilled MLOps Engineer to join the team.
• The MLOps Engineer will be responsible for designing and implementing pipelines for training, validating, and deploying machine learning models, ensuring CI/CD for models.
• The role involves managing and optimizing infrastructure for distributed training, parallel processing, and efficient storage.
• The engineer will collaborate with Data Scientists to operationalize experimental notebooks and turn them into productive services.
• Integration of models with APIs and backend architectures is required, ensuring performance and security.
• The position also includes defining standards for reproducibility, validation, and automated testing throughout the ML lifecycle.

Requirements:

• Candidates must have 4+ years of experience in DevOps, Data Engineering, or MLOps.
• Fluency in technical English is required.
• Practical experience with MLOps tools such as MLflow, Kubeflow, Metaflow, SageMaker, or Vertex AI is necessary.
• Experience managing cloud infrastructure on AWS, GCP, or Azure is essential.
• Candidates should have experience configuring and maintaining distributed training environments with GPUs.
• Familiarity with tools such as Ray, Flyte, Apache Airflow, or Prefect is considered a nice to have.
• Advanced knowledge of Docker, Kubernetes, Helm, and CI/CD (GitHub Actions, GitLab CI, Jenkins) is required.
• Knowledge of data storage and versioning tools like DVC, LakeFS, or DeltaLake is necessary.
• Familiarity with event-driven architectures, microservices, and REST/gRPC APIs is expected.
• Knowledge of Alibaba Cloud and its ecosystem for AI/ML (PAI, ACK, OSS, etc.) is considered a nice to have.

Benefits:

• The job offers an opportunity to work with a leading company in the accounting software industry.
• Employees will have the chance to work on cutting-edge MLOps technologies and tools.
• The position provides a collaborative environment with Data Scientists and other professionals.
• There are opportunities for professional growth and development within the company.
• The role includes competitive compensation and benefits packages.