Senior MLOps Engineer

Description

Are you driven by technology, data, and innovation? At Triggo.ai, we transform complex challenges into intelligent solutions. We are a Brazilian company focused on Analytics, AI, and digital transformation, helping organizations make more strategic decisions and generate real business impact. We work across various market sectors, always combining cutting-edge technology, business insight, and agile execution. If you want to build solutions that make a difference and grow alongside a high-performance team, this could be your place. Join Triggo.ai and build the future with us. **Responsibilities and duties** * Design and maintain CI/CD pipelines for ML models and LLM/RAG applications (training, packaging, deployment, and rollback); * Operationalize the model lifecycle: versioning, registration, feature stores, orchestration, and experiment reproducibility; * Build and scale serving platforms (batch and online) with focus on latency, cost, and availability; * Implement end\-to\-end observability: performance monitoring, data/model drift, data quality, and business metrics; * Establish governance, security, and infrastructure cost control practices for data and AI; * Collaborate with data science and engineering teams to standardize environments and reduce time from lab to production; * Define standards, documentation, and MLOps/LLMOps best practices for squads. **Requirements and qualifications** **Requirements:** --------------- * Solid experience as an MLOps, Data, or Platform Engineer, with proven production model deployments; * Proficiency in Python and software engineering best practices (testing, version control, code review); * Experience with pipeline orchestration (e.g., Airflow, Databricks Workflows) and CI/CD (GitHub Actions, Azure DevOps, or similar); * Experience with model versioning and registry (MLflow) and production monitoring; * Hands-on experience with large-scale data processing (Spark) and analytical data modeling. **Preferred qualifications (strong preference for Databricks):** ---------------------------------------------------- * **Practical experience with the Databricks platform** (Unity Catalog, Delta Lake, managed MLflow, Model Serving, Workflows, and clusters); * Optimization of Spark job and cluster cost and performance on Databricks; * Experience with feature stores, drift monitoring, and model evaluation frameworks. We are the **SysMap Group**, comprising the brands **SysMap Solutions, TriggoLabs, and triggo.ai**, an ecosystem of high-impact companies in the market, delivering innovative technology solutions that transform businesses and develop people. Our essence is driven by **a passion for innovation, collaboration, and continuous growth**. For over **25 years**, we have exceeded expectations by solving complex business challenges, operating across diverse sectors and actively tracking technological evolution. Here, we believe that **technology only delivers value when built by people**. Therefore, we cultivate an ethical, collaborative, and diverse environment where learning is constant and excellence in what we do is part of our identity. **The only way to participate in SysMap Group selection processes is through the company’s pages on the Gupy platform; there is no participation or hiring fee.**