Job description
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
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.*Staff augmentation position (to work with the client team)
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 updates to call sequence strategies as models improve
Optimize serverless architecture to support cost-efficient processing of verification workflows
Required Qualifications
Solid experience in Python development
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
Version control expertise (Git)
Excellent English communication skills (both written and verbal)
Ability to work in a collaborative, remote environment
Preferred Qualifications
Experience building systems that optimize API usage or implement intelligent routing
Familiarity with implementing decision tree algorithms in production
Knowledge of financial service verification APIs and their usage patterns
Experience building systems that track and attribute costs to different processing decisions
Background in implementing A/B testing frameworks for decisioning systems
AWS certifications (Solutions Architect, DevOps Engineer, Machine Learning Specialty)
Familiarity with security and compliance requirements for handling sensitive financial data
Prior experience working with international teams
Understanding of building systems that balance rule-based and ML-based decision making
If you like it, just apply and good luck!
Our benefits:
-Health and dental insurance
-Meal and food allowance
-Childcare assistance
-Extended paternity leave
-Wellhub (Gympass)
-TotalPass
-Profit-sharing (PLR)
-Life insurance
-CI&T University
-Discount club
-Free online platform dedicated to physical, mental, and overall well-being
-Pregnancy and responsible parenting course
-Partnerships with online learning platforms
-Language learning platform
And many more!
More details about our benefits here: https://ciandt.com/br/pt-br/carreiras
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
