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)
- Versátil 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 bills
EPAM 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.

📌 Senior Machine Learning Engineer (México)
🏢 Epam Systems
📍 México