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Role Overview
CI&T; is seeking a skilled Python Engineer/AWS ML Ops Expert to join our nearshore team working on a project for our client in the mortgage technology sector. This role will focus on implementing and deploying intelligent systems that optimize the usage of expensive third-party verification APIs ($100s per call). You will build the infrastructure to support data-driven decision-making around API call sequences, creating "waterfall" strategies that minimize unnecessary calls while maintaining effective verification processes. Your work will directly translate data science models into production systems that generate significant cost savings.
Key Responsibilities
- Implement and deploy machine learning models that optimize third-party API call sequences
- Build systems that can make real-time decisions on which verification services to call based on available data
- Develop infrastructure to track and analyze the effectiveness and cost of different API call strategies
- Create monitoring dashboards to visualize API usage patterns, costs, and optimization opportunities
- Implement and maintain data pipelines that capture call patterns and outcomes for continuous improvement
- Design and build systems that can A/B test different API call strategies to determine optimal approaches
- Collaborate with data scientists to translate optimization algorithms into production systems
- Ensure security and compliance when handling sensitive verification data
- Implement logging and tracing systems to provide visibility into API call decision-making
- Design architecture that supports quick upd
📌 SR MLOps Developer (Colombia)
🏢 Ci&T
📍 Colombia