Amazon Software engineer/AI engineer INTech Latam 

Brazil, São Paulo, São Paulo 

173897362

Join our Alexa-Central Analytics and R&S team to pioneer machine learning tools and processes that power AGI's data-driven decisions. You'll develop scalable, self-serve analytics
applications used by thousands of engineers and researchers monthly.What You'll Do:
• Design and build high-performance data pipelines, micro-services Alexa's metrics and analytics PB scaled datasets
• Create low-latency web applications serving thousands of monthly active users across entire Alexa organization.
• Develop logical data models supporting both operational analytics and strategic 3-year roadmap planning
• Ensure data quality, system reliability, and performance optimization for large-scale distributed systems
• Collaborate with Data Engineers, ML experts, SDEs, and product managers to define architecture and technical strategyWhat We're Looking For:
• Strong background in building scalable micro-services, web applications, ML models and data engineering
• Proven ability to work independently with minimal guidance on complex technical challenges
• Track record of shipping valuable software in fast-paced, iterative environments while working with teams across different time zones
• Excellent communication skills with both technical and business stakeholdersNice to Have:
• UI development experience with React JS
• Design collaboration experience with tools like Figma
• Machine learning or data science backgroundYou'll have significant influence on our technical direction while working with a focused team to solve challenging problems in conversational AI analytics. We value self-starters who
can translate complex requirements into elegant, scalable solutions.Key job responsibilities
- Design, implement, and operate large scale 24x7 services using Java, Python, and AWS services such as EC2, S3, Kinesis, Lambda, DynamoDB, and many more.- Responsible for the development and maintenance of key back-end components, APIs, data pipelines and data warehouses.
- Support and implement operational excellence best practices. Make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).

- 3+ years of non-internship professional software development experience
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- Bachelor's degree or equivalent

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent