Senior Machine Learning Engineer

2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. We are seeking a Senior Machine Learning Engineer to architect, develop, and optimize ML-driven systems that intelligently recommend user-generated content and enhance engagement. You will create scalable machine learning pipelines and oversee advanced deployments in a high-performance environment suitable for real-time data processing. Responsibilities Design high-performance machine learning pipelines using both online and offline feature engineering Implement advanced machine learning models leveraging Python and TensorFlow Optimize inference workflows for low-latency, real-time data like player telemetry Orchestrate machine learning processes with MLflow Integrate datasets through ETL/ELT workflows on Databricks Monitor, debug, and refine production ML systems for optimal performance Automate scalable feature engineering and model deployment solutions Collaborate with interdisciplinary teams to align machine learning with overall system goals Utilize Databricks for effective dataset management and computational processes Establish best practices for scalable and maintainable machine learning systems Requirements 3 years of experience creating machine learning pipelines and products Proficiency in Databricks, MLflow, TensorFlow Skills in Python for machine learning and data engineering workflows Background in ETL/ELT platforms, with competency in large-scale integrations Understanding of real-time data processing and low-latency system requirements Capability to structure and improve online and offline feature engineering workflows Knowledge of ML model lifecycle management and tuning pipeline performance Competency in designing scalable, efficient ML solutions for complex scenarios English level of minimum B2 (Upper-Intermediate) to ensure effective communication Nice to have Expertise in recommender systems for advancing content personalization and discovery Capability to deploy machine learning processes on AWS infrastructure Proficiency in leveraging real-time analytics or telemetry-focused data solutions We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000 courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Mid-Senior level Employment type Full-time Job function Engineering, Information Technology, and Research Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet J-18808-Ljbffr

Location: Brazil, BR

Posted Date: 10/29/2025