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Senior / Principal Machine Learning Engineer

Sigma Software

About this role

About the Role Sigma Software is seeking a Senior / Principal Machine Learning Engineer to join a distributed engineering team focused on intelligent forecasting and advertising optimization systems powering large-scale video platforms. You will design and deliver cloud-native ML solutions processing billions of daily requests and terabytes of data.

What You'll Do

  • 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

What We're Looking For

  • 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

Nice to Have

  • 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

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