Job Summary: We are seeking a Senior Machine Learning Engineer with MLOps experience, responsible for designing, implementing, and operating machine learning pipelines in production environments. Key Highlights: 1. End-to-end ML pipeline design and implementation. 2. Automation with CI/CD/CT. 3. Collaboration with Data and Technology teams. Corus Consulting is a consultancy 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. 3–4 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 bonus, 25% vacation premium, Social Security) Benefits exceeding statutory requirements Courses and/or certifications Profit-sharing payment (PTU) Career development plan. If you meet the profile, please send your updated CV to the email address provided. -Requirements- Minimum Education: Higher Education – Bachelor’s Degree 3 years of experience Knowledge Areas: Engineering, Machine Learning Keywords: engineers, ingeniera, ing, engineer, aprendizaje, learning, senior, sr, data