AI Engineer (Data Scientist)
Joppy · Barcelona, Catalonia, Spain
- On site
- Full-time
- €75,000 / year
- Barcelona, Catalonia, Spain
Job highlights
- Lead generative AI projects with LLMs and agents.
- Develop and deploy cutting-edge ML algorithms.
- Work with diverse data types and cloud platforms.
- Collaborate in multidisciplinary, high-impact squads.
- Shape retail industry's advanced analytics strategy.
About the role
Senior AI Engineer
A top retail company is looking to hire a Senior AI Engineer to join their Data & Advanced Analytics team. You will be part of the team responsible for defining the company's intelligence, data strategy, and architecture. The Advanced Analytics team develops Artificial Intelligence algorithms to optimize processes and decision-making in the retail industry's most complex challenges. The team comprises Data Scientists, Big Data Engineers, Machine Learning Engineers, Deep Learning Researchers, AI Engineers, and Software Engineers, working in multidisciplinary squads to create cutting-edge machine learning algorithms supported by the latest Big Data and distributed computing technology. 🚀 Our Squads:- Generative Artificial Intelligence Squad
- Personalization Squad
- Pricing & Mark-Down Squad
- Purchasing / Production Squad
- Work with LLMs and agents for multiple use cases.
- Define and execute proofs of concept based on needs.
- Be responsible for scaling and productizing PoCs that have demonstrated value.
- Work with structured and unstructured data (text, image) from different systems.
- Stay updated on the latest advancements in generative AI and invest time in developing new algorithms.
- Evaluate models and their quality to determine their utility in each solution.
- Experience developing generative AI projects (chatbots, RAG, agents, etc.). Experience bringing these solutions to production with P&L impact is highly valued.
- Experience prototyping ML solutions and defining experimentation.
- Experience leading end-to-end projects, from prototype to production, is valued.
- Experience with libraries oriented towards generative AI such as LangChain or LangGraph.
- Minimum 4 years of experience developing in Python or other object-oriented languages.
- Knowledge of generative model theory and best practices for monitoring and production deployment.
- Scientific publications in ML are a plus.
- Interest in good software practices (tests, automation, CI pipelines, etc.).
- Experience with cloud platforms: Azure, AWS, or Google Cloud.
- Committed, proactive, curious, innovative, and hands-on mindset.
- Immediate incorporation with a permanent contract.
- Flexible working hours and intensive working hours on Fridays and eve of holidays.
- Offices on the outskirts of Barcelona.
- 50% Remote work.
- 35% discount on all company product lines.
- Technical training (O’Reilly, etc.), language, and personal development.
- Referral program with rewards.
- Free transport from Barcelona and Vallès.
- Physiotherapy, fitness room, and changing rooms at the offices.
- Workshops, meetups, communities of practice, team buildings.
- Flexible benefits: health insurance, training, canteen, nursery, etc.
- Subsidized canteen and cafeteria service.
- In-house medical service at headquarters.
- You will be part of a leading company in the sector, dynamic, innovative, and with a strong commitment to sustainability.
- Close, inspiring, and collaborative work environment.
- Constant opportunities for growth and learning.
- Generative AI
- LLM
- RAG
- AI Engineer
- Machine Learning
- Python
- Cloud Platforms (Azure, AWS, GCP)
- Data Science
- Model Prototyping
- Production Deployment
Skills & topics
- AI Engineer
- Data Scientist
- Generative AI
- Machine Learning
- LLM
- Python
- Cloud
- Retail
- Advanced Analytics
- Big Data
How to get hired
- Tailor your resume: Highlight experience with generative AI, LLMs, RAG, Python, and cloud platforms. Quantify impact on P&L.
- Showcase production experience: Emphasize leading end-to-end ML projects from prototype to deployment.
- Prepare for technical questions: Be ready to discuss generative model theory and MLOps best practices.
- Demonstrate software best practices: Highlight experience with tests, automation, and CI/CD pipelines.
- Emphasize collaborative skills: Showcase your proactive, curious, and hands-on approach in a team setting.
Technical preparation
Master Python and object-oriented programming.,Deepen knowledge of generative models and LLMs.,Practice with LangChain or LangGraph libraries.,Familiarize with cloud AI/ML services.
Behavioral questions
Describe a complex AI project you led.,How do you stay updated with AI advancements?,How do you handle ambiguity in projects?,Share an experience of bringing AI to production.
Frequently asked questions
- What is the work arrangement for the Senior AI Engineer role at this retail company?
- This Senior AI Engineer position offers a hybrid work arrangement, with 50% remote work and 50% on-site at their offices near Barcelona.
- What specific generative AI technologies are used by the Advanced Analytics team?
- The team works extensively with Large Language Models (LLMs) and agents for various use cases. Experience with libraries like LangChain or LangGraph is highly valued for these generative AI solutions.
- How does Joppy help job seekers find relevant tech roles?
- Joppy is a tech recruitment platform built by developers for developers. It offers anonymous profiles, allows users to control who contacts them, provides only relevant job offers matching preferences, and rewards users if they get hired, all without requiring a traditional CV.
- What kind of impact is expected from the Senior AI Engineer's projects?
- The role involves developing and deploying AI solutions that optimize processes and decision-making in the retail industry. Experience in bringing these solutions to production with a positive impact on the P&L is highly valued.
- Are scientific publications in Machine Learning a requirement for the Senior AI Engineer position?
- Scientific publications in Machine Learning are considered a plus for the Senior AI Engineer role, but not a strict requirement. The primary focus is on practical experience in generative AI development and production deployment.
- What are the benefits of working for this retail company as a Senior AI Engineer?
- Benefits include a permanent contract, flexible hours, intensive Fridays, 50% remote work, significant employee discounts, comprehensive training, a referral program, free transport, on-site wellness facilities, and a collaborative, growth-oriented work environment.
- What programming languages and cloud experience are essential for this AI Engineer role?
- A minimum of 4 years of experience in Python or other object-oriented languages is required. Experience with cloud platforms such as Azure, AWS, or Google Cloud is also essential for this role.