Senior / Principal Machine Learning Engineer (AdTech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior / Principal Machine Learning Engineer (AdTech): Designing and optimizing scalable ML models and distributed data pipelines for a high-load video advertising platform with an accent on forecasting accuracy and monetization strategies. Focus on building production-ready solutions using Spark and AWS to process billions of daily requests.
Location: Remote from Albania, Poland, Romania, Ukraine, Argentina, Brazil, Colombia, or Mexico
Company
is a global software development company providing high-end engineering services for a leading technology company in the television and digital advertising industry.
What you will do
- Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems.
- Build and maintain distributed data processing pipelines using Apache Spark and Big Data technologies.
- Develop production-ready ML solutions using Python or Scala within AWS cloud infrastructure.
- Research and implement ML algorithms suitable for high-load AdTech environments to improve model performance and reliability.
- Collaborate with Data Engineers and Product Managers to deliver end-to-end ML solutions.
- Mentor engineers and contribute to ML architecture decisions and engineering best practices.
Requirements
- 6+ years of commercial experience in Machine Learning and Big Data engineering.
- Strong hands-on experience with ML algorithm implementation using Python or Scala.
- Proven expertise with Apache Spark and large-scale distributed data processing.
- Strong knowledge of AWS cloud services and cloud-native architectures.
- Experience with distributed messaging systems such as Kafka.
- English: Upper-Intermediate (B2) or higher required.
Nice to have
- Experience with Golang.
- Background in AdTech, online advertising, or media platforms.
- Experience with forecasting systems or recommendation engines.
- Experience optimizing ML models for large-scale production environments.
Culture & Benefits
- Remote work options with flexible scheduling.
- Health and legal support.
- Access to an active professional community and continuous education.
- Option to work from outstanding physical offices.
- Sports and community activities.
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