Offer summary

Qualifications:

Solid experience in Python development and AWS services (Lambda, Step Functions, SageMaker, DynamoDB)., Strong understanding of ML Ops practices and model deployment., Excellent English communication skills and ability to work in a collaborative, remote environment., Experience with serverless architectures and cost optimization strategies in cloud environments..

Key responsabilities:

Implement and deploy machine learning models to optimize third-party API call sequences.

Build systems for real-time decision-making on verification services based on available data.

Develop infrastructure for tracking and analyzing API call strategies and costs.

Collaborate with data scientists to translate optimization algorithms into production systems.

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.

When applying for one of our positions, you’re agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. For more information, access our opportunities’ page.

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 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!

#LI-JP3

#MIdSenior

Our benefits include:

- Premium Healthcare

- Meal voucher

- Maternity and Parental leaves

- Mobile services subsidy

- Sick pay-Life insurance

- CI&T University

- Colombian Holidays

- Paid Vacations

And many others.

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.

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