Hoy
NTT DATA is the 6th biggest IT Service Company in the world with more than 100. We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing.
You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation.
Being a cloud-native, hybrid or on-premises environment.
Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases.
Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms.
Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud.
Contribute to code reviews, documentation, and mentoring junior team members.
Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace).
Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production.
Strong software engineering practices (version control, CI/CD, testing, containerization).
Master’s degree in Computer Science, Engineering, Data Science, or related field.
Experience in Agile/Scrum environments and collaborating with remote teams.
Excellent command of English (C1-C2 level).
Background in consulting or client-facing AI delivery projects.
To work on projects for leading companies in Spanish and European market.
To be involved in high priority projects with visibility to senior leadership
To apply the latest technical innovations in artificial intelligence platforms in AWS.
To attend and give conferences.
To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies.
A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications).
Hoy
NTT DATA is the 6th biggest IT Service Company in the world with more than 100.000 professionals and a turnover of more than 15 billion euros.
We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. The Group has the ambitious goal to position within the TOP 3 worldwide. We have been awarded Best Place to work in Spain for 4 consecutive years.
What are we looking for?
We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing.
You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation.
We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on:
* Defining and implementing technical solutions related to AI Platform framework/methodology.
* Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment.
* Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites.
* Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases.
* Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms.
What will you be accountable for?
Your responsibilities around our artificial intelligence services will be focused on the following fields of action:
* Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines.
* Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability.
* Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
* Develop and maintain reusable AI components and best practices for GenAI systems.
* Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud.
* Stay current with advancements in AI and proactively propose innovations.
* Contribute to code reviews, documentation, and mentoring junior team members.
Why would we want to meet you?
We want to meet you if:
* Solid understanding of AI foundations, including both classical machine learning and generative AI.
* Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks.
* Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace).
* Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production.
* Strong software engineering practices (version control, CI/CD, testing, containerization).
* Must be located in or willing to relocate to Spain.
We will positively value:
* Master’s degree in Computer Science, Engineering, Data Science, or related field.
* Experience with MLOps tools and practices.
* Experience in Agile/Scrum environments and collaborating with remote teams.
* Excellent command of English (C1-C2 level).
* Background in consulting or client-facing AI delivery projects.
What do we offer?
We propose:
* To work on projects for leading companies in Spanish and European market.
* To be involved in high priority projects with visibility to senior leadership
* To apply the latest technical innovations in artificial intelligence platforms in AWS.
* To attend and give conferences.
* To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies.
* A competitive salary according to provided experience.
* A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications).
If you are interested or would like to have more information, please apply via this advertisement.
Hoy
This is a great opportunity to work with one of the biggest growing tech start-ups based in Spain, they are well-funded and one of the most well-known quantum software companies in Europe. They are a provider of hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence, across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with the use of their new AI & now LLM product.
Job Overview
In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.
Responsibilities
* Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
* Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
* Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
* Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
* Maintain comprehensive documentation of LLM development processes, experiments, and results.
* Participate in code reviews and provide constructive feedback to team members.
Required Qualifications
* Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
* 3+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
* Hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
* Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
* Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
* Strong understanding with the fundamentals of GPU architectures.
* Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
* Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
* Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
* Previous research publications in deep learning is a plus.
Key Words: Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi-GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine-tuning / Mistral / Llama
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (
Hoy
At PropHero we are seeking a versatile AI Engineer to join our team and help us advance both classic Machine Learning models and cutting-edge generative AI systems. In this role, you’ll work across the full AI lifecycle: training, testing, and deploying models for regression, classification, and agent-based applications. You will design and optimize backend systems using AWS, integrate AI models with databases and APIs, and collaborate closely with data science, frontend and DevOps teams to deliver scalable, reliable, and secure solutions.
Responsibilities:
* Platform Engineering : Design and maintain backend systems (AWS, Python) to support both classic ML and GenAI workloads (LangChain, LangGraph).
* Model Development & Testing : Collaborate with Data Scientists to train, fine-tune, and evaluate ML models (regression, classification, GenAI). Build pipelines for testing, fairness, and reliable inference at scale.
* Deployment & Integration : Deliver models as production-ready services; integrate with APIs, MCPs, vector databases, and external tools (e.g., HubSpot).
* Collaboration : Partner with frontend engineers for smooth API integrations and with DevOps to ensure scalable, secure deployments.
* Observability & Reliability : Implement monitoring, logging, and evaluation tools to ensure accuracy, efficiency, and reliability of AI systems.
Requirements:
* Hands-on experience with ML frameworks (e.g., scikit-learn, XGBoost) and GenAI libraries (LangChain, LangGraph, HuggingFace).
* Knowledge of regression, classification, and modern NLP/GenAI approaches.
* Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
* Solid expertise in API design, system architecture, and backend development.
* Experience working with AWS services and DevOps practices.
* Focus on testing, evaluation, and reliable deployment of ML models.
* Fluent English, as all our teams are distributed globally and we use English for all internal communications.
Why PropHero:
* Impact & Ownership: Your work will directly shape the data foundation that drives our business decisions and customer experience.
* Cutting-Edge Stack: Build on a modern, cloud-native AWS data platform.
* Growth Opportunities: Be part of a fast-scaling team with opportunities to lead data architecture and mentor others.
* Healthy Business: €30M revenue in 4 years, 25% QoQ growth, already profitable.
Diversity Statement
At Prophero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities.
Prophero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential.
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