SR MLOps Developer (Python), Brazil

CI&T Software S.A.; Brasil; Teletrabalho; BRL 60.000 - 120.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Python Engineer/AWS ML Ops Expert, where your expertise will drive the development of intelligent systems in the mortgage technology sector. You'll focus on optimizing API usage, implementing machine learning models, and creating infrastructure for data-driven decision-making. This role offers a unique opportunity to work collaboratively in a remote environment, leveraging cutting-edge technology to deliver significant cost savings. With a strong emphasis on innovation and excellence, this position is perfect for those who thrive in a diverse and inclusive workplace, contributing to impactful projects that shape the future of technology.

Serviços

Health and dental insurance

Meal and food allowance

Extended paternity leave

Gym membership

Life insurance

CI&T University

Discount club

Free online wellness platform

Pregnancy and parenting course

Partnerships with online learning platforms

Qualificações

• Solid experience with AWS services, particularly Lambda and SageMaker.
• Strong understanding of ML Ops practices and model deployment.

Responsabilidades

• Implement and deploy ML models for optimizing API call sequences.
• Build systems for real-time decisions on verification services.

Conhecimentos

AWS services

ML Ops practices

Real-time decision making

Monitoring and logging systems

Cost optimization strategies

Serverless architectures

English communication

Collaborative work

Ferramentas

AWS Lambda

AWS Step Functions

AWS SageMaker

AWS DynamoDB

Descrição da oferta de emprego

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

1. Implement and deploy machine learning models that optimize third-party API call sequences.
2. Build systems that can make real-time decisions on which verification services to call based on available data.
3. Develop infrastructure to track and analyze the effectiveness and cost of different API call strategies.
4. Create monitoring dashboards to visualize API usage patterns, costs, and optimization opportunities.
5. Implement and maintain data pipelines that capture call patterns and outcomes for continuous improvement.
6. Design and build systems that can A/B test different API call strategies to determine optimal approaches.
7. Collaborate with data scientists to translate optimization algorithms into production systems.
8. Ensure security and compliance when handling sensitive verification data.
9. Implement logging and tracing systems to provide visibility into API call decision-making.
10. Design architecture that supports quick updates to call sequence strategies as models improve.
11. Optimize serverless architecture to support cost-efficient processing of verification workflows.

Required Qualifications

1. Solid experience with AWS services (particularly Lambda, Step Functions, SageMaker, DynamoDB).
2. Experience implementing systems that make real-time decisions based on data and business rules.
3. Strong understanding of ML Ops practices and model deployment.
4. Experience building monitoring and logging systems for API usage.
5. Knowledge of cost optimization strategies in cloud environments.
6. Experience with serverless architectures and event-driven systems.
7. Excellent English communication skills (both written and verbal).
8. Ability to work in a collaborative, remote environment.

Preferred Qualifications

1. Experience building systems that optimize API usage or implement intelligent routing.
2. Familiarity with implementing decision tree algorithms in production.
3. Knowledge of financial service verification APIs and their usage patterns.
4. Experience building systems that track and attribute costs to different processing decisions.
5. Background in implementing A/B testing frameworks for decisioning systems.
6. AWS certifications (Solutions Architect, DevOps Engineer, Machine Learning Specialty).
7. Familiarity with security and compliance requirements for handling sensitive financial data.
8. Prior experience working with international teams.
9. Understanding of building systems that balance rule-based and ML-based decision making.

If you like it, just apply and good luck!

-Health and dental insurance
-Meal and food allowance
-Extended paternity leave
-Wellhub (Gympass)
-TotalPass
-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

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.