Barcelona
Why SoftwareOne? SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world‑class learning and development programs. Whether you’re passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose‑driven culture where your ideas matter, your growth is supported, and your career can go global. The role Do you love turning data into real impact? Want to be part of a friendly, dynamic, and experienced team, where innovation meets collaboration? Interested in joining a leading global software and cloud solutions provider helping organizations optimize technology and drive digital transformation? We are looking for a Data Scientist passionate about AI, ML, and cloud technologies to design impactful, intelligent solutions. You will work on projects ranging from predictive modeling and segmentation to conversational AI and large language models, delivering end‑to‑end machine learning solutions from understanding business needs, feature engineering, model training, deployment, and technical delivery. If you enjoy bringing AI ideas to life, leading by example, and staying at the forefront of ML technologies, we would love to meet you. Key Responsibilities Work on AI and Machine Learning projects hosted in Azure, AWS and Google clouds. Solve advanced ML challenges: forecasting, segmentation, targeting and more. Build solutions based on Large Language Models (LLMs): text generation, summarization, and conversational AI. Work with speech, text, image, and video analytics problems. Lead projects from the technical side, supporting delivery excellence. Prepare documentation, conduct trainings, and run knowledge transfer sessions. Collaborate with clients to gather requirements and translate them into technical solutions. Practical Information Location: Madrid, Barcelona, León or Santiago de Compostela | Work Arrangement: Hybrid | Contract type: full time | Language requirements: Fluent Spanish and English. What we need to see from you Commercial experience in Machine Learning / Artificial Intelligence or a PhD in this field. Hands‑on experience with Azure Cloud Platform (additional experience in AWS or GCP would be a plus). Very good knowledge of Python and solid understanding of SQL. Familiarity with Azure AI Services is a plus. Solid theoretical background in machine learning and understanding of LLM concepts. Experience with MLflow or other ML lifecycle tools is a plus. Team‑oriented mindset and ability to mentor junior team members. What’s on offer Global company culture: We defined our 6 core values through our company culture (). A mentor who supports your successful start and is at your side with advice and action. President’s Club: Recognition awarded by leadership and your peers. Flexible work: Do great work from home but also visit local office to deliver excellence in team relationship. Lifelong education: A variety of training and development opportunities. Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future. Job Function Software & Cloud Accommodations SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at . At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program. #J-18808-Ljbffr
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