Lead Machine Learning Engineer

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)- 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.