Senior / Principal Machine Learning Engineer

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: Experience with Golang Experience in AdTech, online advertising, or