MLOps Engineer

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

📋 Description

• Design, develop, and implement machine learning solutions along with feature engineering pipelines.

• Configure, test, debug, deploy, document, and maintain ML pipelines, models, and feature engineering components while following specific development best practices and quality standards.

• Collaborate closely with data scientists, data engineers, and solution architects to create technical design specifications for ML programs, emphasizing efficient feature engineering and model deployment.

• Analyze large-scale datasets and validate the proposed ML solutions against both architectural design and business requirements, ensuring that model performance aligns with target metrics.

• Handle troubleshooting and issue analysis across the ML stack, including feature pipelines, model training, inference, and model monitoring, as well as coding, testing, and implementing model enhancements.

• Exhibit a strong understanding of supervised, unsupervised, ensemble, and deep learning algorithms to devise and execute effective ML solutions, with experience in feature engineering, model evaluation, and ongoing performance optimization to achieve business objectives.

• Implement and uphold MLOps practices such as experiment tracking, model versioning, A/B testing, and automated retraining pipelines.

• Excel in a fast-paced agile development environment, promoting iterative improvements to models.

• Establish and maintain data governance and model monitoring frameworks to guarantee model reliability, fairness, and adherence to business standards.

• Be available to assist or resolve issues related to planned model deployments and retraining cycles during off-hours.

• Contribute to the advancement of our ML architecture, concentrating on MLOps principles and emerging technologies for feature stores.

⛳️ Requirements

• 4+ years of professional experience in a machine learning engineering role with a focus on production ML systems.

• Bachelor's or master's degree in Machine Learning, Information Technology, Computer Science, or equivalent experience.

• Strong communication skills, both verbal and written.

• Experience with Agile methodologies and tools (Jira, Confluence).

• Experience in the retail industry is advantageous.

🏝️ Benefits

• Competitive salary.

• Flexible work arrangements.

• Professional development opportunities.