Senior Machine Learning Engineer | MLOps | Data | AI

Description

Job Summary: Corus Consulting is seeking a Senior Machine Learning Engineer | MLOps | Data | AI to design, implement, and operate machine learning pipelines, ensuring scalability and reliability. Key Highlights: 1. End-to-end ML pipeline design and implementation 2. Automation with CI/CD/CT 3. Performance, drift, and model decay monitoring **Corus Consulting** is a consulting firm with over 15 years of experience serving diverse clients worldwide; we have a presence in Europe, the United States, Asia, and Mexico. We are currently seeking your talent to join us as: **Senior Machine Learning Engineer \| MLOps \| Data \| AI:** **Experience:** * Bachelor’s degree in Computer Science, Computer Engineering, or related field. * 3 to 4 years of experience as a Senior MLOps Engineer responsible for designing, implementing, and operating machine learning pipelines in production environments, ensuring scalability, reliability, and regulatory compliance. * Responsibilities: * End\-to\-end ML pipeline design and implementation. * Automation with CI/CD/CT. * Model deployment via APIs, batch, or streaming. * Performance, drift, and model decay monitoring. * Integration with systems and microservices. * Cloud infrastructure optimization. * Collaboration with Data and Technology teams. * **Essential Skills**: Python, Kubernetes, Docker, CI/CD (GitLab, Jenkins, or GitHub Actions), AWS or GCP, Linux, MLflow/SageMaker, model monitoring (drift, decay), REST APIs. **Work Modality:** * Remote work from anywhere in Mexico. (Occasional visits to Monterrey, with travel expenses covered) * Schedule: Monday to Friday, 9 AM to 6 PM. **We Offer:** * 100% payroll-based employment scheme * Statutory benefits: (12 vacation days in the first year, 15-day Christmas bonus, 25% vacation premium, Social Security) * Benefits exceeding statutory requirements * Courses and/or certifications * Profit-sharing (PTU) payment * Career development plan. If you meet the profile, please send your updated CV to the email address provided. Employment Type: Full-time Benefits: * Medical expense insurance Application Question(s): * What are your salary expectations? * Can you work remotely with occasional visits to Monterrey? Experience: * Production environments resolving incidents: 2 years (Mandatory) * MLflow or SageMaker: 2 years (Mandatory) * MLOps or ML Engineer: 3 years (Mandatory) * Kubernetes and Docker: 3 years (Mandatory) * AWS or GCP: 2 years (Mandatory) * ML pipelines in production: 2 years (Mandatory) Work Location: Remote job