We are in search of a **Lead Machine Learning Engineer** to direct the design, implementation, and optimization of ML-based systems that intelligently recommend user-generated content, aiming to boost engagement. This role involves leading the development of robust machine learning pipelines and overseeing high-performance deployments suited for real-time data environments.
**Responsibilities**
- Lead the design and execution of scalable, high-performance machine learning pipelines for online and offline feature engineering
- Drive the development and tuning of advanced machine learning models, primarily utilizing Python and TensorFlow
- Guide and standardize machine learning workflow management processes using MLflow across the team
- Supervise and expand data integration pipelines via ETL/ELT processes on Databricks
- Ensure reliability, debugging, and continuous performance tuning of production-grade ML systems
- Establish scalable and automated methodologies for feature engineering and durable model deployments
- Collaborate effectively with senior stakeholders to align machine learning solutions with organizational objectives
- Strategize effective utilization of Databricks for efficient dataset management and computational workflows
- Set and uphold industry-leading best practices for scalable, maintainable, and efficient ML systems
**Requirements**:
- 5+ years of experience building scalable machine learning pipelines and production-grade workflows
- Minimum of 1 year of leadership experience in relevant roles




- Strong proficiency in Python for advanced machine learning and data engineering
- Solid background in ETL/ELT platforms with significant experience in large-scale integration processes
- Deep familiarity with real-time processing systems optimized for low latency
- Proven skills in designing and scaling workflows for both online and offline feature engineering
- Expertise in managing ML model lifecycles and optimizing pipelines
- Capability to deliver scalable, high-performance solutions in multifaceted and evolving environments
- Excellent command of written and spoken English (B2+ level)
**Nice to have**
- Comprehensive understanding of recommender systems with an emphasis on enhancing content discoverability and engagement
- Proficiency in deploying machine learning systems within AWS or comparable cloud infrastructure
- Background in real-time analytics coupled with telemetry-driven 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)
- Adaptable 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.

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