Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
Analyze large-scale historical and real-time datasets to improve forecasting accuracy and monetization strategies
Build and maintain distributed data processing pipelines using Spark and related Big Data technologies
Develop production-ready ML solutions using Python within AWS cloud infrastructure
Research, evaluate, and implement Machine Learning algorithms suitable for high-load AdTech environments
Improve model performance, scalability, reliability, and operational efficiency
Collaborate with Data Engineers, Product Managers, and distributed engineering teams to deliver end-to-end ML solutions
Contribute to ML architecture decisions, experimentation approaches, and engineering best practices
Monitor, validate, and optimize ML model quality and forecasting performance in production environments
Produce technical documentation related to ML pipelines, models, and distributed systems
Mentor engineers and support technical growth within the team
Drive innovation in Machine Learning and AdTech technologies

6+ years of commercial experience in Machine Learning and Big Data engineering
Strong hands-on experience with machine learning algorithms implementation using Python
Proven experience with Apache Spark and large-scale distributed data processing
Experience working with distributed messaging systems such as Kafka
Strong knowledge of AWS cloud services and cloud-native architectures
Experience designing and developing large-scale distributed or mission-critical systems
Solid understanding of software engineering principles, SDLC, and Agile methodologies
Strong analytical thinking and problem-solving skills
Ability to work independently and take ownership of complex technical solutions
Good communication and collaboration skills
Upper-Intermediate or higher English level

WILL BE A PLUS:

Senior / Principal Machine Learning Engineer

Job Description