Participating in the design and development of AI solutions for challenging projects

Building production level ML/AI solutions, with solid software engineering and ML/AI principles

MLOps Automated deployment and monitoring (models and infrastructure)

Data analysis (data cleaning, variable transformation, etc.)

Developing and training ML/AI models

Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment

Benefits

Competitive salary based on experience: We offer competitive salaries that match both market trends and your unique experience and skills. We believe in rewarding the talent and dedication of our team.

Flexible 35-hour week: We promote a work-life balance with a flexible 35-hour work week, without any salary reduction. We prioritize your well-being and productivity.

100% Remote work (optional): We provide the option for 100% remote work, allowing you to create a work environment that suits your personal needs and preferences.

Adaptable remuneration (restaurant, transportation,



and childcare): Our flexible remuneration package includes vouchers for restaurants, transportation, and childcare services

Free medical and dental insurance: We cover medical and dental insurance for you and your family, ensuring your health and well-being are always a priority, with no additional cost to you.

Training budget and free certifications: Invest in your growth with an individual training budget and access to free Microsoft certifications. We support your continuous learning and professional development.

English lessons: Enhance your language skills with weekly English lessons, designed to improve proficiency and confidence in a global work environment.

Day off for your birthday: Celebrate your birthday with a day off, on us We believe in celebrating you and giving you the space to enjoy your special day.

Monthly bonus: Receive a monthly bonus to cover your electricity and internet

📌 Data Scientist (Madrid)
🏢 Plain Concepts Group
📍 Madrid