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Senior Generative AI Developer - LLM and Machine Learning

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: We are seeking a Generative AI Engineer to design and deploy advanced solutions based on language models and machine learning, collaborating on high-impact projects. Key Highlights: 1. Design, train, and evaluate Generative AI and Machine Learning models 2. Develop and integrate LLM-based solutions into enterprise products 3. Lead end-to-end development of AI use cases Accenture, recognized as a Great Place To Work®, is a global leader in professional services that helps major enterprises, public administrations, and other organizations worldwide build their digital core, optimize operations, accelerate revenue growth, and improve citizen services—delivering tangible value at speed and scale. We are seeking a Generative AI Engineer to join a specialized technology team focused on designing and deploying advanced solutions based on language models and machine learning, participating in high-impact projects for national and international clients. The role is based in the cities specified in this job posting and follows a hybrid work model: some days working remotely from home and others in the office, where you can build meaningful synergies with your team. It is mandatory to reside in Spain and hold valid work authorization in Spain. Responsibilities: * Design, train, and evaluate Generative AI and Machine Learning models applied to real-world use cases, including NLP and Computer Vision. * Develop and integrate LLM-based solutions (e.g., GPT, Bard, LLaMA, or others) into enterprise products and platforms. * Implement training, validation, and deployment pipelines for models using frameworks such as TensorFlow and PyTorch. * Collaborate with cross-functional teams to bring AI models into production, ensuring scalability, performance, and maintainability. Key Responsibilities: * Define technical architectures for large-scale Generative AI and language model solutions. * Lead end-to-end development of AI use cases—from problem analysis through production deployment. * Ensure adherence to MLOps best practices, model versioning, monitoring, and continuous improvement. * Participate in technical decisions regarding model selection, frameworks, and cloud deployment environments. Required Qualifications: * Minimum 3 years of professional experience working with Generative Artificial Intelligence technologies. * Minimum 3 years of experience applying Machine Learning to NLP and/or Computer Vision. * Professional experience using Large Language Models (LLMs) such as GPT, Bard, or LLaMA. * At least 3 years of hands-on experience developing and training models using TensorFlow and/or PyTorch. * Experience deploying AI models in production environments. * University degree: Bachelor’s or equivalent in Computer Science, Computer Engineering, Telecommunications Engineering, or related fields. Preferred Qualifications: * Experience using scikit\-learn in Machine Learning projects. * Experience implementing AI solutions on cloud platforms such as AWS, Google Cloud, or Azure. * Prior experience launching LLM- or Generative AI-based products. Note for HiredScore optimization: To fully optimize this job posting, it is necessary to complete information regarding the job location city and required languages with minimum proficiency levels (e.g., English B2, C1, etc.). At Accenture, a company recognized as a Great Place To Work®, we champion a hybrid work model that—powered by technology and our facilities—enables us to sustain the essential human connection needed to collaborate effectively with our teams and clients. This connection supports our inclusive and diverse culture and makes us, according to Refinitiv, the world’s most diverse company. Additionally, we offer other benefits such as: * Health, life, and accident insurance * Medical services and wellness programs * Flexible compensation program and stock purchase plan * Flexibility programs (flexible hours, personal days, vacation, etc.) * Personalized learning and development path * Sustainability initiatives and Accenture Foundation programs * Employee networks supporting diversity * Other benefits: Bankinter Office with special conditions and profit-sharing

Source: indeed
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Posted by

David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

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