Senior Machine Learning Engineer

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**- Career plan and real growth opportunities- Unlimited access to LinkedIn learning solutions- Constant training, mentoring, online corporate courses, eLearning and more- English classes with a certified teacher- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)- Flexible work schedule and dress code- Collaborate in a multicultural environment and share best practices from around the globe- Hired directly by EPAM & 100% under payroll- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)- 13 % employee savings fund, capped to the law limit- Grocery coupons- 30 days December bonus- Employee Stock Purchase Plan- 12 vacations days- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)- Monthly non-taxable amount for the electricity and internet billsEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.