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[Job-20797] Senior Python Developer, Colombia

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.

What You Should Know About [Job-20797] Senior Python Developer, Colombia, CI&T

At CI&T, we are on the cutting edge of tech transformation, seamlessly blending human expertise with artificial intelligence to deliver scalable solutions for our partners. We're looking for a Senior Python Developer to join our talented team in Colombia. In this exciting role, you will leverage your Python skills and AWS expertise to create intelligent systems for a client in the mortgage technology space. Your primary mission? To optimize the use of costly third-party verification APIs, which can rack up hundreds of dollars with every call. You’ll get to work on implementing and deploying machine-learning models, designing smart systems that make real-time decisions on verification services. The cool part? Your innovative strategies will not only elevate data-driven decision-making but also lead to significant cost savings for our client. As you build and monitor systems that track API usage, collaborate with data scientists to extract maximum value from algorithms, and ensure security compliance, you will be driving impactful change in the industry. At CI&T, we pride ourselves on our collaborative spirit and commitment to excellence, all while fostering an inclusive workspace that values diverse experiences. If this sounds like your next big opportunity, we would love to see your application shine!

Frequently Asked Questions (FAQs) for [Job-20797] Senior Python Developer, Colombia Role at CI&T
What are the responsibilities of a Senior Python Developer at CI&T in Colombia?

As a Senior Python Developer at CI&T in Colombia, you will focus on implementing machine learning models that optimize third-party API call sequences. Your role involves building systems for real-time decision-making about verification services, developing infrastructures for data-driven strategies, and creating monitoring dashboards to analyze API usage patterns and costs.

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What qualifications do I need to apply for the Senior Python Developer position at CI&T?

To apply for the Senior Python Developer position at CI&T, candidates should possess solid Python development experience, familiarity with AWS services such as Lambda and SageMaker, and a strong understanding of ML Ops practices. Knowledge of cost optimization strategies and experience with serverless architectures are also highly desirable.

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What is the work culture like for a Senior Python Developer at CI&T in Colombia?

At CI&T in Colombia, the work culture for a Senior Python Developer emphasizes collaboration and inclusivity. We celebrate diverse identities and experiences, ensuring that all team members are respected and valued. Our approach fosters a sense of belonging while maintaining a high standard of excellence in our projects.

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How does CI&T support the professional development of its Senior Python Developers?

CI&T supports the professional development of its Senior Python Developers through initiatives like CI&T University, which offers training and courses to enhance technical skills. Additionally, we promote a culture of continuous improvement, where collaboration and knowledge sharing lead to personal and career growth.

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What benefits do Senior Python Developers at CI&T enjoy in Colombia?

Senior Python Developers at CI&T in Colombia enjoy a range of benefits, including premium healthcare, meal vouchers, maternity and parental leaves, and a mobile services subsidy. We also offer paid vacations, sick pay, life insurance, and many other perks to promote a well-rounded work-life balance.

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Common Interview Questions for [Job-20797] Senior Python Developer, Colombia
Can you describe your experience with Python development?

When answering this question, detail your specific projects or responsibilities where you've used Python. Highlight any frameworks or libraries you are familiar with and give examples of how you've solved problems using Python.

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What AWS services have you worked with in your previous roles?

Discuss your hands-on experience with AWS services relevant to the job, such as Lambda, SageMaker, and DynamoDB. Provide detailed examples of projects where you utilized these services effectively.

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How would you manage real-time decision-making processes in a system?

Explain your approach to creating systems capable of real-time decision-making, detailing the architecture you would use and the data sources you would integrate. Discuss any algorithms or methodologies you would incorporate.

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How do you approach optimizing API usage in your projects?

Share specific strategies you've used to optimize API call sequences, focusing on techniques like A/B testing, cost analysis, and performance monitoring. Illustrate the impact these strategies had on your projects.

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What is your experience with machine learning operational practices?

Detail your familiarity with ML Ops practices, including the deployment of machine learning models and collaboration with data scientists on optimization algorithms. Provide examples of successful projects where you applied these practices.

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How do you ensure compliance when handling sensitive data?

Describe your understanding of security and compliance protocols, particularly in handling sensitive verification data. Provide examples of measures you've implemented to maintain data integrity and security.

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Can you give an example of a monitoring system you've built for API usage?

Discuss a specific monitoring dashboard or logging system you've created. Explain its structure, the metrics you tracked, and how it contributed to decision-making for API usage.

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What techniques do you use for continuous improvement of data pipelines?

Share your experience with data pipelines, emphasizing techniques such as tracking call patterns and outcomes for iterative optimization. Discuss tools and methodologies that you have found effective for maintaining data quality and relevance.

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What do you understand by serverless architecture?

Explain serverless architecture with a focus on your practical experiences employing serverless technologies to build scalable applications. Highlight advantages such as cost efficiency and rapid deployment.

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How do you balance rule-based and machine learning-based decision making?

Talk about how you've previously integrated rule-based logic within machine learning models. Discuss the benefits of a hybrid approach and provide an example where this balance led to successful project outcomes.

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CIT Group Inc. operates as the bank holding company for CIT Bank, National Association that provides banking and related services to commercial and individual customers. The company operates through Commercial Banking, Consumer Banking, Non-Strate...

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