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. *We accept* *CVs in English only.* **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 * Optimize and manage the deployment of inference pipelines tailored for real\-time, low\-latency applications such as player telemetry * 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 * Demonstrated expertise in Databricks, MLflow, and TensorFlow in professional applications * 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** * Learning Culture \- We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally * Health Coverage \- Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family * Visual Benefit \- Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200\.000 COP for any visual health expenses * Life Insurance Plan \- We have partnered with MetLife to offer a full\-coverage Ife insurance plan. So, your family is covered, even if you are gone. * Medical Leave Coverage \- We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us * Professional Growth Opportunities \- We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally * Stock Option Purchase Plan \- As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization * Additional Income \- Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways * Community Benefit \- You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams! *Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.* 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.