Data Scientist - AI/GenAI Solutions Engineer, Madrid
Client:
Location:
Madrid, Spain
Job Category:
Other
EU work permit required:
Yes
Job Reference:
911917764637727129632460
Job Description:
The Data and Artificial Intelligence team works daily to seek opportunities to generate value. We prototype, validate hypotheses with business teams, and deploy all the talent, teamwork, and technology necessary to build AI-first products that have the greatest possible impact at scale (millions of users across dozens of countries) to make it accessible to as many people as possible. We build digital products based on Data and AI for the construction of a great digital sports platform. If you want to contribute to this challenge, you have at least 2 years of experience building AI products and are familiar with GenAI solutions, we would like to work with you.
Responsibilities:
1. Design and Develop AI and GenAI Solutions: Design, develop, and prototype AI-powered products with a scalable approach and adaptable to the existing infrastructure. Evaluate and select appropriate pre-trained models from AWS Bedrock and other sources for specific business problems, such as customer service, content generation, and personalized recommendations. Hands-on experience with LLM skills, from prompt engineering, fine-tuning to retrieval-augmented generation (RAG).
2. Productivization and MLOps: Deploy and scale models into production environments using AWS services. Develop and maintain robust MLOps pipelines for model deployment, monitoring, and maintenance within the Databricks environment, potentially utilizing tools like MLflow. Be able to apply LLMOps techniques to ensure the reliability, scalability, and security of deployed GenAI models.
3. Data Mining Skills: Knowledge of theoretical and practical statistics techniques for data analysis. Proficiency in SQL for data exploration and analysis. Experience with data processing frameworks like Apache Spark (on Databricks) is a plus.
4. Research and Development: Stay abreast of the latest advancements in AI and explore new opportunities for its application within the retail (sports) industry. Conduct research and development on novel AI and GenAI applications relevant to business goals.
What You Need to Succeed:
1. Strong foundation in Data Science: Experience with core ML concepts, algorithms, and techniques.
2. Software engineering proficiency: Strong Python programming skills, experience with software development best practices such as Object-Oriented Programming (OOP) and familiarity with Git (GitHub).
3. Familiarity in GenAI: Understanding of LLMs, their capabilities, limitations, and best practices for their use.
4. MLOps expertise: Proven experience handling the lifecycle of models in production with MLOps tools and technologies, including CI/CD pipelines, containerization, and model monitoring.
5. Cloud computing experience: Experience with AWS services such as S3, Sagemaker, or Bedrock.
6. Communication and collaboration: Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams.
7. Problem-solving and critical thinking: Ability to analyze complex problems, identify creative solutions, and adapt to new challenges.
8. English and Spanish: Very fluent in both languages (written and spoken).
Bonus (Desirable):
1. Domain knowledge: Basic understanding of the retail (sports) industry, customer behavior, and relevant business processes.
2. Recommendation systems: Knowledge of common techniques and metrics used for solving problems of recommendation and rankings, such as collaborative-filtering, association-rules, learning to rank, and so on.
3. Experience with Databricks: Hands-on experience with the Databricks platform for data engineering, model training, and deployment.
4. Experience with MLflow: Familiarity with MLflow for model tracking, experiment management, and model deployment.
5. Experience with GCP AI Platform: Familiarity with GCP AI Platform services and tools like VertexAI.
The Team:
We're an international multidisciplinary team based in Madrid, that consists of Data Engineers, Analytics Engineers, Data Scientists, ML Engineers, and Data Product Managers. Our main responsibility is to convert opportunities into Data and AI-based solutions that generate value for our customers and for all people working at Decathlon. We work on solutions to improve the experience in our physical and digital commerce, improve our customer relationships, and support content generation using GenAI.
Why Join Us:
1. Significant discounts on the purchase of our products.
2. Benefits with significant discounts in relation to health and sports.
3. Bonuses based on Decathlon results.
4. Possibility of shareholding in the company.
5. Personalized training plan in an environment that encourages decision-making.
6. Professional development plan with a focus on growth.
7. Freedom and responsibility.
8. Free coffee and fruit!
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