High Voltage Substation Technical Director
Zaragoza, Spain / Bilbao / Logrono / Pamplona / Santander
Madrid, Castellana 85, Spain / Barcelona, La Rotonda·Full-time·Added 1 month ago
Full-time hours
Per the ad.
Hybrid
Office and home days — the ad has the split.
Have the right to work in Spain
Accenture doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Be near Madrid, Castellana 85, Spain / Barcelona, La Rotonda for hybrid days
No relocation package mentioned.
Have senior-level experience
Senior-level role.
This job was automatically translated to English, .
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
Justify the value of model approaches in business problems
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production
Career Level: Associate Manager / Manager
As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
Established experience in building and deploying AI/ML based software to a cloud environment.
Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..
Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.
Experience working with agentic frameworks, such as LangChain, LangGraph or CrewAI
Experience with the following programming languages: Python, C++, Java, R, SQL
Experience designing, deploying, and operating cloud-native solutions on AWS, Azure, or GCP, including microservices-based and serverless architectures.
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
MS or PhD in related field preferred (computer science, engineering, etc.)
Bachelor's Degree or equivalent
At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.
In addition, we offer:
Private medical, life, and accident insurance
Medical services and wellbeing programs
Flexible benefits program and employee share purchase plan
Flexible working arrangements (working hours, additional leave days, vacation options, and more)
Personalized learning and career development paths
Sustainability initiatives and opportunities to participate in the Accenture Foundation
Employee diversity and inclusion networks
Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
Justify the value of model approaches in business problems
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production
Career Level: Associate Manager / Manager
As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
Significant experience as a machine learning engineer or scientist, deploying models in production atscale,including monitoring, alerting, automatic bug filing and auditing.
Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
Established experience in building and deploying AI/ML based software to a cloud environment.
Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..
Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.
Experience working with agentic frameworks, such as LangChain, LangGraph or CrewAI
Experience with the following programming languages: Python, C++, Java, R, SQL
Experience designing, deploying, and operating cloud-native solutions on AWS, Azure, or GCP, including microservices-based and serverless architectures.
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
MS or PhD in related field preferred (computer science, engineering, etc.)
Bachelor's Degree or equivalent
At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.
In addition, we offer:
Private medical, life, and accident insurance
Medical services and wellbeing programs
Flexible benefits program and employee share purchase plan
Flexible working arrangements (working hours, additional leave days, vacation options, and more)
Personalized learning and career development paths
Sustainability initiatives and opportunities to participate in the Accenture Foundation
Employee diversity and inclusion networks
Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs
Solicitud · 15 min
Revisión de la solicitud · With reclutadores
Entrevistas
Te contactan por teléfono o email (Workday) para programar entrevistas por teléfono, videoconferencia o en persona.
Actividad online
Online test · Not every role
Para algunos puestos piden completar una actividad online sobre habilidades técnicas, fortalezas o toma de decisiones.
Oferta
Accenture is a global professional services company specializing in information technology services and consulting, with a workforce of over 700,000 people serving clients in more than 120 countries. The company operates across five business areas: Strategy and Consulting, Technology, Operations, Industry X, and Song, offering services that range from digital transformation and AI implementation to SAP integration and cybersecurity. Accenture is recognized as a global leader in consulting and technology services, consistently ranked among the world's largest and most influential firms in its sector.
In Spain, Accenture has a significant presence with offices in Madrid, Barcelona, and other major cities, employing thousands of professionals. The company is a major employer of international talent, offering roles in areas such as SAP consulting, AI engineering, cybersecurity, and digital design. Accenture's work culture emphasizes innovation, continuous learning, and diversity, making it an attractive destination for professionals seeking to advance their careers in a global environment. With a strong focus on emerging technologies like generative AI and agentic AI, Accenture Spain provides ample opportunities for international hires to work on cutting-edge projects.
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 atwww.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other legally protected status. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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 atwww.accenture.com
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.
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