Burt Intelligence.
Burt Intelligence is a global company dedicated to transforming the way organizations work with data. The company offers an analytics software platform designed to empower business teams by providing personalized, precision insights and recommended actions to drive revenue and achieve organizational goals. Burt Intelligence fosters data-driven decision-making across various departments by delivering insights that significantly enhance performance. Working at Burt Intelligence means being part of a dynamic, innovative environment focused on technology and impactful outcomes.
Middle/Senior ML Developer
September 19, 2024
Burt Intelligence.
Burt Intelligence is a global company dedicated to transforming the way organizations work with data. The company offers an analytics software platform designed to empower business teams by providing personalized, precision insights and recommended actions to drive revenue and achieve organizational goals. Burt Intelligence fosters data-driven decision-making across various departments by delivering insights that significantly enhance performance. Working at Burt Intelligence means being part of a dynamic, innovative environment focused on technology and impactful outcomes.
📋 Description
• Develop and enhance forecasting services. • Work on large-scale features. • Maintain robust data pipelines. • Process raw advertising data from multiple sources. • Build machine learning models for inventory predictions. • Work with SQL and NoSQL databases. • Use Docker, CI/CD, and Infrastructure as Code (IaC). • Collaborate in Agile methodologies, including Scrum. • Transition from Spark to Clickhouse and work on cloud platforms for scalability.
🎯 Requirements
• 3+ years of production backend or ML development or comparable experience. • 1+ year with Python. • Practical knowledge in ML and statistics. • GBDT, Scikit-learn, feature engineering, validation, tuning. • Time series experience is a plus. • DL and SOTA architectures is not a requirement. • Algorithms and data structures. • Ability to switch hats as both data scientist and software engineer. • Java/Scala/Kotlin experience is a plus. • MLOps experience is a plus. • Being ready to develop a product in a customer oriented team. • Taking responsibility and approaching challenges conscientiously.
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