We are a company made of people and for people. With a solid and inclusive foundation, MC focuses on people to make life simpler for customers, employees, and community members. We create value with everyone’s contribution, we innovate at every step, and we lead closely, paying attention to each person’s qualities and needs. We have different stories and different ideas, but we share the desire to grow and become the best version of ourselves. Everything we are, we achieve together. And there is nothing more inspiring than that.
 
MC Digital is the Information Technology area of MC. We are firmly convinced that technology can re-shape the retail business, bringing more convenience and exceeding customer's expectations. And we offer a unique workplace, combining the typical benefits of a large corporation with an informal and energetic startup environment.

So, if you want to be part of this team and take on new challenges, we are looking for you!

We are looking for a Full Stack Engineer (AI Products) for our AI Engineering team and we believe we will be #betterwithyou!

We're counting on you to...

• Develop scalable web applications that provide predictions and recommendations from AI/ML models to business decision makers;
• Collaborate closely with data scientists, AI researchers and data architects to integrate and service applications
• Ensure the robustness and scalability of developed tools through rigorous testing and debugging processes;
• Produce: monitor the performance of developed applications in production environments.

So bring with you...

• Higher education in the areas of Computer Engineering, Computer Science, Artificial Intelligence or similar;
• At least 3 years of proven experience in the development of tools that serve AI predictions/recommendations;
• Proficiency in front-end and back-end development technologies or full-stack development frameworks (e.g. Django/FastAPI + React, Ruby on Rails, Remix, Flask + Vue. js);
• Ability to structure projects, applying good development and testing practices;
• Experience with CI/CD practices: Ability to set up and maintain CI/CD pipelines that automate part of the development cycle, ensuring quality and timely deliveries;
• Familiarity with cloud services (Azure, AWS, Google Cloud);
• Experience in producing pipelines that automate the life cycle of ML models using current MLOps paradigms (valued);
• Ability to implement ML / AI models with a tangible impact on the business (valued);
• Contact with distributed computing technologies (hadoop, spark) (valued);
• Ability to solve problems in a structured way; 
• Proficiency in English;
• Good communication skills.

What you will find…

• Collaborative work environment;
• A dynamic team;
• Career progression and internal mobility opportunities;
• A cohesive and leading company in the retail sector.

 
What we have for you…

• Meal Allowance in cash or in Dá Card (whichever is more advantageous for you);
• Telecommunications Plan with voice, data, and equipment for permanent employees;
• Flex it Up Program - Extra Off Days, Unpaid Leave, Flexible Work Model (when applicable);
• Health and Life Insurance (for permanent employees) with the possibility of extending Health Insurance to family members with advantageous conditions;
• Flexible Benefits Program (when applicable);
• Onboarding and Initial Training Plan, Continuous Training platform, and Financial Literacy Program;
• School Awards and Merit Scholarships for employees’ children (regular and inclusive education), as well as Holiday Programs during school breaks;
• Flu Vaccine including its administration (voluntary participation);
• We Are Sonae Program, providing psychosocial, financial and legal support to employees;
• Ergocoaching Sessions;
• Mental Health Promotion Programs and Nutrition Consultations;
• Discount and Partnership Program with over 300 leading brands;
• Free coffee and fruit available at the workplace;
• Competitive Salary.

#BETTERTOGETHER #BETTERWITHYOU

MC Sonae D&I Commitment:
We work to create a work environment based on the richness of profiles and focused on uniqueness, ensuring that everyone feels respected, valued for their skills, and confident in the organization.