Senior / Principal Machine Learning Engineer

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Design, develop, and enhance scalable Machine Learning models for advertising intelligence and forecasting systems.

• Analyze extensive historical and real-time datasets to enhance forecasting accuracy and monetization strategies.

• Construct and uphold distributed data processing pipelines utilizing Spark and associated Big Data technologies.

• Create production-ready ML solutions using Python within AWS cloud infrastructure.

• Research, assess, and implement Machine Learning algorithms that are suitable for high-load AdTech environments.

• Enhance model performance, scalability, reliability, and operational efficiency.

• Collaborate with Data Engineers, Product Managers, and distributed engineering teams to deliver comprehensive ML solutions.

• Contribute to decisions regarding ML architecture, experimentation methodologies, and engineering best practices.

• Monitor, validate, and optimize the quality of ML models and forecasting performance in production settings.

• Produce technical documentation pertaining to ML pipelines, models, and distributed systems.

• Mentor engineers and foster technical growth within the team.

• Propel innovation in Machine Learning and AdTech technologies.

⛳️ Requirements

• 6+ years of professional experience in Machine Learning and Big Data engineering.

• Strong hands-on expertise in implementing machine learning algorithms using Python.

• Proven experience with Apache Spark and large-scale distributed data processing.

• Familiarity with distributed messaging systems such as Kafka.

• Comprehensive knowledge of AWS cloud services and cloud-native architectures.

• Experience in designing and developing large-scale distributed or mission-critical systems.

• Solid grasp of software engineering principles, SDLC, and Agile methodologies.

• Strong analytical thinking and problem-solving capabilities.

• Ability to work independently and take responsibility for complex technical solutions.

• Effective communication and collaboration skills.

• Upper-Intermediate or higher level of English proficiency.

• WILL BE A PLUS: Experience with Golang.

• Background in AdTech, online advertising, or media platforms.

• Experience with forecasting systems or recommendation engines.

• Experience in optimizing ML models for large-scale production environments.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Engaging work environment with a focus on innovation and collaboration.

• Comprehensive health and wellness benefits.