Chief Machine Learning Engineer

We are searching for a **Chief Machine Learning Engineer** to lead the vision, strategy, and execution of ML-based systems that intelligently recommend user-generated content while maximizing engagement at scale. You will take ownership of the development, deployment, and optimization of cutting-edge machine learning solutions, driving team excellence in real-time data environments.**Responsibilities**- Set the strategic direction for scalable, high-performance machine learning pipelines across online and offline feature workflows- Architect and oversee the development of advanced machine learning models, leveraging Python, TensorFlow, and state-of-the-art frameworks- Define and enforce standardized machine learning workflows, integrating MLflow and other tools across cross-functional teams- Build and manage robust data integration pipelines via ETL/ELT processes in enterprise-level environments using Databricks- Shape the vision for reliable, scalable, and continuously optimized production-grade ML systems across the business- Develop automated, robust solutions for feature engineering and ensure seamless model deployment across high-complexity systems- Partner with top stakeholders to align machine learning strategies with large-scale organizational objectives and KPIs- Champion strategies for efficient dataset management and high-powered computational workflows leveraging Databricks infrastructure- Drive innovation and enforce enterprise-wide best practices for scalable and highly efficient ML systems**Requirements**:- 7+ years of experience designing and deploying scalable machine learning systems in high-complexity environments- At least 2 years of proven leadership experience in managing ML teams or initiatives- Extensive expertise with Databricks, MLflow, TensorFlow, and advanced data engineering platforms- Advanced proficiency in Python, with a strong focus on machine learning, data engineering, and system optimization tasks- Comprehensive experience with ETL/ELT processes and large-scale data integration pipelines- Proven track record in optimizing real-time data systems requiring low-latency and high reliability- Deep expertise in designing and scaling complex online and offline feature engineering workflows at the enterprise level- Mastery in managing end-to-end ML model lifecycles across high-demand production environments- Excellent written and verbal communication skills in English (C1 level or higher)**Nice to have**- Expert-level knowledge of recommender systems for enhancing content discovery and user engagement- Hands-on experience deploying machine learning infrastructure on AWS, GCP, or equivalent cloud platforms- Advanced experience with real-time analytics and designing telemetry-driven systems at scale**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.