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Join us

We are aware that, working in technology, the main competitive advantage lies in the talent of the people. We are a highly qualified team made up of experts in data science, ML engineering, solution architecture and product.
Check out our open positions

Benefits

Life & family

A job that adapts to life

We have a hybrid work format, with the flexibility to distribute it according to our manager, your own needs, and the team’s. We help you to set up your home office suite, if necessary.

We are granted 25 working days of paid leave per year and 4 days for personal matters. On Fridays and in the summer months, we enjoy shorter working days.

We encourage personal life balance, promoting a work environment with equal opportunities for all.

Work environment

Ready to make a big impact?

We develop data-driven products that reach millions of customers in several countries worldwide.

The working atmosphere is one of our strengths. We foster an environment based on trust and collaboration that allows us to create connections with our workmates.

We offer you a wide variety of benefits that contribute to improving your financial, physical, and mental well-being, such as retirement savings contributions, special banking conditions, health insurance, or daily lunch, among others.

Training and networking

We want to witness your growth

We encourage participation in international conferences, either as speakers or attendees.

We have access to mentoring and coaching programs and specific training plans based on our assessments.

We have a universe of resources at our disposal for our professional development and training. Both online and face-to-face, and taught by professionals of reference.

Working at AI Factory

Committed to diversity

The world is diverse, and society is moving towards the inclusion of everyone, whatever their gender, age, knowledge, background, culture or beliefs. We believe that this enriches our lives, and for this reason we want the workplace to be as diverse and inclusive as the world in which we live. Not only that, but having more diverse teams helps us produce higher quality work. This, in turn, assists us to reduce the risk of incorporating biases into our algorithms or designing our data engines with different perspectives in mind.