Chief Machine Learning Engineer

We are seeking a Chief Machine Learning Engineer to spearhead the vision, strategy, and implementation of ML-driven systems that intelligently recommend user-generated content and maximize engagement at scale. You will own the development, deployment, and refinement of state-of-the-art machine learning solutions, fostering team excellence in dynamic data environments. ResponsibilitiesDefine the strategic approach for scalable, high-performing machine learning pipelines across online and offline feature workflowsArchitect advanced machine learning models with Python, TensorFlow, and cutting-edge frameworksLead optimization and deployment of enterprise-grade inference pipelines focused on real-time applications like player telemetry analyticsEnforce standardized machine learning workflows by incorporating tools such as MLflow within cross-functional teamsOversee robust data integration pipelines built on ETL/ELT frameworks in enterprise-level environments using DatabricksEstablish the vision for reliable and scalable production-grade ML systems with continuous optimization in focusDevelop automated and dependable solutions for complex feature engineering processes and seamless model deployment systemsCollaborate with senior stakeholders to align organizational KPIs with machine learning strategies at scaleDrive innovation around dataset management and computational workflows utilizing Databricks infrastructurePromote best practices and innovation for scalable, high-efficiency ML solutions across the enterprise Requirements7+ years of relevant expertise in scalable machine learning systems within intricate environments2+ years in recognized leadership roles managing ML teams or major initiativesProficiency in Databricks, MLflow, TensorFlow, and advanced data engineering platformsAdvanced skills in Python, prioritizing ML, data optimization, and engineering processesBackground in ETL/ELT methodologies and integrating large-scale data pipelinesShowcase of optimizing real-time data systems requiring low-latency and exceptional reliabilityCompetency in scaling advanced feature engineering workflows for enterprise-level applicationsQualifications in managing ML model lifecycles within demanding production setupsUnderstanding of building solutions that balance scalability, efficiency, and maintainability across critical systemsProficiency in English communication, both written and verbal, at a C1 level or higher Nice to haveKnowledge of recommender systems tailored for content discovery and improving user engagementUnderstanding of machine learning infrastructure deployment on AWS, GCP, or similar cloud platformsShowcase of expertise in real-time analytics and creating telemetry-driven systems across large-scale operations We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn