Job Summary: We are seeking an MLOps Engineer with experience in designing, deploying, and operating scalable Machine Learning solutions, collaborating with cross-functional teams. Key Highlights: 1. Design, deployment, and operation of scalable ML solutions 2. Building and maintenance of Machine Learning pipelines 3. Promotion of best practices and continuous improvement in MLOps -----Role Description----- We are seeking an *MLOps Engineer* with over 5 years of experience, involved in the design, deployment, and operation of *scalable Machine Learning* solutions in cloud and distributed environments. This role focuses on building *ML pipelines*, deploying models into production, and managing the end-to-end ML lifecycle, working closely with Data Science, Engineering, and Business teams. -----Main Responsibilities----- * Building, deploying, and maintaining *Machine Learning pipelines* and production models. * Defining and developing *APIs and MCP servers* for ML solutions. * Implementing *batch and real-time model scoring* in distributed environments. * Processing large volumes of structured and unstructured data. * Managing massive data flows for scalable ML. * Preparing complex datasets aligned with technical and business requirements. * Conducting ad-hoc data analysis to support business decision-making. * Resolving incidents related to data flows and models. * Collaborating with clients and internal teams, ensuring high satisfaction. * Promoting *best practices, innovation, and continuous improvement* in MLOps processes. -----Technical Requirements----- * +5 years of experience as an *MLOps Engineer*. * Solid experience with *AWS*, especially *SageMaker*. * ML lifecycle tools: *MLflow and Kubeflow*. * Use of *Weights & Biases* for experiment tracking. * Hands-on experience with *Databricks*. * Advanced *Python*. * CI/CD with *GitHub Actions (TypeScript)*. * Container orchestration with *Kubernetes*. * Strong knowledge of *ML model training and inference workflows*. * Experience in *data preparation and feature engineering*. * Familiarity with *Edge ML deployment strategies*. ----------> *Important:*---------- 1. Residency in *Guadalajara*, or *willingness to travel* from *CDMX or Querétaro* under a *hybrid arrangement* is required. 2. *Travel expenses for in-person attendance* are *covered by the company*. -----We Offer----- * Approximate net salary: $55,661 MXN * Meal vouchers and restaurant vouchers * Savings fund * *30-day bonus (aguinaldo)* * 10 vacation days with *90% vacation premium* * Medical, dental, and life insurance * Personal days * Special leave (paternity, marriage, bereavement) * *100% payroll employment* * Benefits exceeding statutory requirements If you meet this profile and seek a serious challenge, *we would be delighted to speak with you*. .ISC, IT Consultant Edgar Flores 5576433726 Consulting.LEdgarHF@gmail.com Veronica Garcia 5611142759 Employment type: Full-time, Indefinite-term Salary: $48,000.00 - $55,000.00 per month Benefits: * Savings fund * Option for indefinite-term contract * Major medical expense insurance * Dental insurance * Life insurance * Additional vacation days or paid leave * Meal vouchers Work location: Remote hybrid in Guadalajara, Jal.