[Job-20797] SR MLOps Developer (Python), Brazil

CI&T; Brazil (IN); Remote; USD 90,000 - 140,000; Full time

Job summary

CI&T is looking for a skilled Python Developer specializing in AWS and machine learning to optimize API call strategies in the Mortgage Technology sector. Join a diverse and inclusive team that fosters continuous professional development while working flexibly in a collaborative environment. Your role will involve real-time data decision-making and developing effective monitoring systems.

Benefits

Comprehensive benefits package including health and dental insurance

Meal allowances and childcare assistance

Extended paternity leave

Access to CI&T University and online learning partnerships

Flexible remote work arrangement

Qualifications

• Solid experience in Python development.
• Solid experience with AWS services (Lambda, Step Functions, SageMaker, DynamoDB).
• Excellent English communication skills.

Responsibilities

• Implement and deploy machine learning models for API optimization.
• Develop systems for real-time data-driven decision making.
• Create dashboards to analyze API usage and optimization opportunities.

Skills

Python

AWS

Machine Learning

Communication

Job description

Employer Industry: Mortgage Technology

Why consider this job opportunity:
- Opportunity for significant cost savings through optimization strategies
- Comprehensive benefits package including health and dental insurance, meal allowances, and childcare assistance
- Extended paternity leave and support for responsible parenting
- Access to CI&T University and partnerships with online learning platforms for continuous professional development
- Collaborative and inclusive work environment that values diversity
- Flexible remote work arrangement

What to Expect (Job 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
- Collaborate with data scientists to translate optimization algorithms into production systems

What is 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
- Excellent English communication skills (both written and verbal)

How to Stand Out (Preferred Qualifications):
- Experience building systems that optimize API usage or implement intelligent routing
- Familiarity with implementing decision tree algorithms in production
- Background in implementing A/B testing frameworks for decisioning systems
- AWS certifications (Solutions Architect, DevOps Engineer, Machine Learning Specialty)
- Understanding of building systems that balance rule-based and ML-based decision making

#MortgageTechnology #MachineLearning #PythonDeveloper #AWS #RemoteWork #DiversityAndInclusion

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