## Company Description Ready to work on machine learning solutions powering large-scale video advertising platforms used by millions of viewers worldwide? We are looking for a Senior / Principal Machine Learning Engineer to join a distributed engineering team working on intelligent forecasting and advertising optimization systems. In this role, you will contribute to high-load cloud-native solutions processing billions of daily requests and terabytes of data. We at Sigma Software offer the opportunity to work with cutting-edge ML and Big Data technologies, collaborate with international experts, and influence technical decisions within a complex AdTech ecosystem. **CUSTOMER** Our Customer is a leading technology company in the television and digital advertising industry focused on helping media companies monetize premium video content. The platform supports high-quality video delivery across smart TVs, OTT devices, mobile applications, set-top boxes, and desktop environments. The Customer operates a large-scale distributed ecosystem that combines machine learning, cloud technologies, and advanced analytics to optimize advertising efficiency and audience targeting. ## Job Description - 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 ## Qualifications - 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