20 publicaciones de empleo destacadas de performance framework architect en arganda madrid provincia (¡Están contratando!)

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Senior AI/ML Computational Scientist

Accenture -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
Azure
Derecho
Doctorado
Informática
Big data
DevOps
R
Arquitectura del sistema
Java
Máster
Arquitectura de microservicios
SQL
AWS
C++
Grado
Machine learning
Deep learning
APIs
Cloud
UI
Inteligencia artificial
Python

Descripción completa del empleo

Senior AI/ML Computational Scientist

Career Level: Associate Manager / Manager

YOU ARE

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.

THE WORK

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

#LI-MP

EDUCATION

Bachelor's Degree or equivalent

REQUIRED SKILLS

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.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

Experience working with language models like LLM's APIs and optimizing their 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.)

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

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