Machine Learning Engineering Manager

We are seeking an experienced **Machine Learning Engineering Manager** to lead our engineering team in developing innovative AI-powered solutions that drive business impact.This role involves overseeing the creation and deployment of scalable AI infrastructure while fostering collaboration across product, design, and data teams to deliver measurable outcomes.**Responsibilities**- Lead the design and deployment of AI and ML systems, ensuring scalability and cost-efficiency- Oversee the integration of AI infrastructure like vector databases, model orchestration tools, and inference frameworks- Collaborate with cross-functional teams across engineering, product, design, and data science to deliver impactful solutions- Drive the development of scalable, enterprise-grade ML platforms for structured and unstructured data- Manage end-to-end product data pipelines, taxonomies, and schemas to align with e-commerce and other use cases- Ensure the adoption of modern MLOps practices to streamline model training, deployment, and monitoring- Identify and integrate LLMs and GenAI technologies to address various business challenges- Lead API architecture development for efficient communication across AI systems and other platforms- Stay informed of emerging trends like RAG pipelines, multimodal LLMs, and prompt orchestration to maintain technical excellence- Foster a team culture of innovation, collaboration, and outcome-driven decision-making**Requirements**:- 7+ years of backend development experience, including 3+ years with Python, as well as expertise in server-side technologies like GoLang and PHP- Strong foundation in SQL and in-memory storage solutions combined with AI/ML systems architecture and production deployment expertise- Proven track record in deploying LLMs and GenAI technologies at scale- Hands-on experience with cloud platforms such as AWS, GCP, or Azure and using modern MLOps tools- Deep understanding of API architecture and familiarity with frontend frameworks like Angular or React- Leadership experience in managing cross-functional teams and aligning technical, product, and design goals- Background in designing scalable and cost-effective AI platforms with measurable business outcomes- Knowledge of product data pipelines, schemas, and taxonomies for e-commerce use cases**Nice to have**- Familiarity with modern AI infrastructure tools like vector databases and cloud-native ML workflows- Hands-on experience with model orchestration tools for building scalable systems- Skills in employing RAG pipelines, multimodal LLMs, or advanced prompt orchestration techniques**We offer**- Career plan and real growth opportunities- Unlimited access to LinkedIn learning solutions- International Mobility Plan within 25 countries- 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 plus 4 floating 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.