MLOps Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Implement MLOps strategies and oversee the machine learning lifecycle.

• Process data and streamline ML workflows utilizing Python.

• Query and manage databases effectively using SQL.

• Leverage Google Cloud Platform (GCP) for MLOps and machine learning operations.

• Coordinate workflows with Cloud Composer and Apache Airflow.

• Schedule and oversee data and ML pipelines.

• Transform data and facilitate analytics engineering with Dataform.

• Automate and supervise pipelines.

• Assist with CI/CD pipelines and deployment of ML models.

• Utilize containerization technologies, including Docker and Kubernetes.

⛳️ Requirements

• Extensive experience in MLOps practices and managing the machine learning lifecycle.

• Proficient in Python for data processing, automation, and ML workflows.

• Strong understanding of SQL and database querying techniques.

• Practical experience with Google Cloud Platform (GCP).

• Familiarity with Cloud Composer (Apache Airflow on GCP) for orchestrating workflows.

• Expertise in Apache Airflow for scheduling and managing data and ML pipelines.

• Experience with Dataform for data transformation and analytics engineering.

• Knowledge of workflow orchestration, pipeline automation, and monitoring.

• Experience with CI/CD pipelines and ML model deployment (preferred).

• Familiarity with containerization technologies like Docker and Kubernetes (preferred).

• Fluent in English.

🏝️ Benefits

• Commitment to diversity and inclusion.

• A fair and equitable work environment.

• Dedication to ESG and CSR initiatives.