Senior / Principal Machine Learning Engineer
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Upper-Intermediate or higher English proficiency.
- Experience
- 6+ years
- Required Skills
- AWSPythonAgileKafkaMachine LearningData engineeringSparkDistributed Systems
Requirements
- 6+ years of professional experience in Machine Learning and Big Data engineering.
- Strong hands-on experience implementing Machine Learning algorithms with Python.
- Proven experience working with Apache Spark and large-scale distributed data processing systems.
- Experience with distributed messaging platforms such as Kafka.
- Strong knowledge of AWS services and cloud-native architectures.
- Experience designing and developing large-scale, distributed, or mission-critical systems.
- Solid understanding of software engineering principles, SDLC practices, and Agile methodologies.
- Ability to work independently, take ownership, and drive complex technical initiatives.
- Excellent communication and collaboration skills in distributed team environments.
- Upper-Intermediate or higher English proficiency.
Responsibilities
- Design, develop, and optimize scalable Machine Learning models for advertising intelligence, forecasting, and optimization systems.
- Analyze large-scale historical and real-time datasets to improve prediction accuracy and support data-driven monetization strategies.
- Build and maintain distributed data processing pipelines using Apache Spark and other Big Data technologies.
- Develop production-ready ML solutions using Python within AWS cloud infrastructure.
- Research, evaluate, and implement advanced Machine Learning algorithms suitable for high-volume, high-performance environments.
- Collaborate with Data Engineers, Product Managers, and distributed engineering teams to deliver end-to-end ML solutions.
- Contribute to ML architecture decisions, experimentation strategies, engineering standards, and best practices.
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