Job Summary: Salva Health is seeking an AI Engineer (MLOps / AI Ops) to deploy AI models into production, build robust pipelines, and ensure the reliability and scalability of the AI ecosystem. Key Highlights: 1. Impact lives with technology at a health startup 2. High-level technical challenges and a learning culture 3. Space to propose and build from scratch At Salva Health, we are looking for an AI Engineer (MLOps / AI Ops). If you are passionate about deploying AI models into production, building robust pipelines, and working on technology that impacts lives, this opportunity is for you. **What will be your purpose?** You will be responsible for ensuring the reliability, scalability, and traceability of the AI ecosystem, guaranteeing that models transition efficiently and controllably from experimentation to production. **What will you do?** Design and implement CI/CD pipelines for AI models Structure repositories and versioning (code, data, and models) Deploy models in production environments Monitor performance (drift, metrics, stability) Manage infrastructure (Docker, Kubernetes, cloud) Support the experimentation cycle alongside the AI team Mentor and guide junior profiles **What are we looking for?** Degree in Systems Engineering, Data Science, Electronics, or related fields 3–5 years of experience in similar roles Experience in: MLOps (MLflow, DVC, CI/CD) Docker, Kubernetes, and cloud services (AWS, GCP, or Azure) Python and ML libraries Advanced versioning with Git **Desirable:** Experience in signal processing or healthcare Knowledge of regulations (FDA, INVIMA) Experience monitoring models in production **What do we offer?** Work at a health startup with real impact High-level technical challenges A learning and building culture Space to propose and build from scratch Location: Medellín If you’re interested—or know someone who is—apply now or share your profile! \#AI \#MLOps \#MachineLearning \#TechJobs \#Medellín \#Hiring \#SalvaHealth Job Type: Full-time Workplace: On-site