Senior / Principal Machine Learning Engineer

Senior / Principal Machine Learning Engineer
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 Halcyon Labs 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.
Requirements
– 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
Responsibilities
– 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