Sigma Software
• 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 media platforms • Experience with forecasting systems or recommendation engines • Experience optimizing ML models for large-scale production environments Ready to work on machine learning solutions powering large-scale video advertising platforms used by millions of viewers worldwide?
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