Senior Machine Learning Engineer

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 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

🎯 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 • Experience with Golang (will be a plus) • Experience in AdTech, online advertising, or media platforms (will be a plus) • Experience with forecasting systems or recommendation engines (will be a plus) • Experience optimizing ML models for large-scale production environments (will be a plus)