Optimize API Call Sequences with Machine Learning Expertise We are seeking a skilled Python Engineer/AWS ML Ops Expert to join our team working on a project for a 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 strategies that minimize unnecessary calls while maintaining effective verification processes. Key Responsibilities: - Implement 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 updates to call sequence strategies as models improve - Optimize serverless architecture to support cost-efficient processing of verification workflows Required Skills and Qualifications: - Solid experience with AWS services (particularly Lambda, Step Functions, SageMaker, DynamoDB) - Experience implementing systems that make real-time decisions based on data and business rules - Strong understanding of ML Ops practices and model deployment - Experience building monitoring and logging systems for API usage - Knowledge of cost optimization strategies in cloud environments - Experience with serverless architectures and event-driven systems - Excellent English communication skills (both written and verbal) - Ability to work in a collaborative, remote environment Benefits: - Maternity and Parental leaves - Mobile services subsidy - Sick pay-Life insurance - Professional training and development opportunities - Paid Vacations - And many others. Our Values: - Collaboration is our superpower - Diversity unites us - Excellence is our standard