• Lead end-to-end machine learning initiatives focused on improving player engagement and retention, from initial concept through production deployment. • Build scalable, reusable machine learning pipelines with a focus on reliability, maintainability, and performance. • Design and manage CI/CD workflows for machine learning using tools like MLflow, Jenkins, and GitOps to enable automated and efficient model deployment. • Monitor model performance in production, implementing retraining strategies, drift detection, and continuous optimization. • Partner with cross-functional teams to translate business goals and user insights into high-impact machine learning solutions. • Mentor other engineers and help define best practices for machine learning system design, development, and deployment.

DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE! Did you know that Accenture is leading the digital transformation in the World? Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide. Offer · Career development according to your profile and interests. · Work in one of the best companies and feel proud. · Access to an innovative methodology and tools. · Direct contact with experts worldwide. · Use of work schemes and cutting-edge technologies. · Constant training. · Work environment based on teamwork and collaboration. · Participation in International Projects We are looking for a highly skilled Maintenance Ops Lead with 5–8 years of experience in SAP Plant Maintenance (PM) / Enterprise Asset Management (EAM). The role focuses on leading the consolidation and optimization of EAM processes, ensuring efficient operations, system integration, and configuration across SAP PM and supporting modules like MM and IM. Key Responsibilities: - Lead the design, configuration, and integration of SAP PM/EAM systems, including Asset Suite 9, Passport, Maximo, and other EAM platforms. - Collaborate with technical leads to define infrastructure, integrations, and operational requirements for system consolidation and deployment. - Lead and mentor technical teams, ensuring high-quality deliverables and adherence to SAP best practices. - Oversee testing, including unit test scripts and UAT documentation when required. - Ensure compliance with SAP PM/EAM standards and operational procedures. Must-Have Skills & Experience: - 5–8 years of experience in SAP PM / EAM technical architecture and operations. - Strong knowledge of SAP MM and IM for integration with PM processes. - Technical skills: Asset Suite (Foundation Architecture, Compose and XML), WebSphere/WebLogic/JBoss, Linux (P3). - Passport skills: COBOL, z/OS, DB2. - Proven experience leading technical teams (minimum 4 years). - Proficient in English is a must. - Availability to work MDT shift. Nice-to-Have Skills: - Experience preparing and maintaining unit test scripts in HPALM, with documentation and screenshots for UAT. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com Declaración de igualdad de oportunidades en el empleo Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace. • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications. • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals. • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

• Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents. • Collaborate with cross-functional teams to integrate machine learning solutions into our software products. • Apply statistical analysis to identify signals, trends, and insights that can inform product development. • Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment.