Python jobs in Spain

Sant Cugat del Valles, Barcelona, Spain – Full time – Posted 2 Days Ago – job requisition id: 3151004

AI Lab (under the well-known Technology and Innovation Office) is responsible for bringing state‑of‑the‑art research in Generative AI (and AI in general) to HP’s product portfolio to solve top user needs and enable new types of user experiences. The team is located in Sant Cugat (ESP) and Palo Alto (US). The AI Lab goal is to operationalize the GenAI model lifecycle, build models to support the top initiatives within HP, and do research on Generative AI. We are looking for an experienced Machine Learning Engineer with expertise and passion in the Gen AI space.

• Build GenAI solutions by incorporating the latest industry best practices and techniques.
• Execute the technical strategy of the AI Lab with the goal of supporting HP’s roadmap.
• Develop and lead tooling to support the model lifecycle and encourage the use of best practices.
• Implement state‑of‑the‑art GenAI modelling (finetuning), quantization and evaluation techniques.
• Manage and create relationships with business partners to evaluate and foster AI driven innovation, providing domain‑specific expertise in cross‑organization projects / initiatives.
• Prepare and present literature, presentations, invention disclosures for peer review & publication in industry generative AI domain initiatives and conferences.
• Assure insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Provide guidance, training and mentoring to less experienced staff members.

• BSc and MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically 3+ years of work experience, preferably in machine or deep learning, generative AI, statistical modelling, or a related field.
• Experience working in cross‑functional teams and collaborating with diverse stakeholders to deliver complex projects.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross‑functional teams and engage with customers to understand their needs.
• Strong analytical and problem‑solving abilities.

• Programming language /s certification (Python, C++, C#, Java or similar).
• Broad knowledge of machine learning, deep learning, generative AI and statistical modelling.
• Expertise with building robust software systems based on AI techniques.
• Hands‑on experience on Generative AI and Machine Learning (LLMs, LVMs, LMMs, LAM, NEURO SYMBOLIC, SAM) development, quantization and deployment.
• Experience with deep learning frameworks such as PyTorch.
• Experience deploying models on prem (GPU, CPU or NPU devices).
• Contributions to the AI community (e.g., publications, patents, open‑source projects, or participation in conferences and workshops) is a plus.

• Opportunity to work in an international organization with colleagues from all over the world.
• Diverse, continued internal growth and career opportunities, including HP’s own learning platform and LinkedIn Learning.
• An attractive benefits package: health & life insurance; lunch at reduced prices at our canteen / ticket restaurant vouchers; HP product discount.
• Work‑life balance / flexible working hours.
• Women, Pride, Young employees, Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally.
• We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day.
• We have an onsite Doctor and medical team for our employees, including services such as nutrition, physiotherapy, and general health.
• Printing Happy hour – from photographs to large posters, and hands‑on workshops to print with the latest technology – from wall covers to 3D printed models.

Equal Opportunity Employer (EEO). HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence.