.Data Scientist Mid-Level (Braga/ Hybrid/ Remote) About Automaise Automaise is at the forefront of AI innovation, developing a groundbreaking platform – Automaise OS - designed to revolutionize productivity for Operations and Customer Care.
With Automaise OS, our cutting-edge operating system for a future workforce of AI Agents, we empower organizations to seamlessly integrate intelligent automation into their processes.
Our no-code/low-code platform enables brands to automate even the most complex workflows with unprecedented speed, driving efficiency and agility.
By leveraging Automaise OS, businesses can supercharge their digital transformation strategies, unlocking new levels of scalability and operational excellence in an AI-driven world.
About the role We are looking for a driven, curious, and fast learner to join our AI team as a Data Scientist.
This role will provide you with a standout chance to springboard a career in a growing and dynamic SaaS environment.
Here you'll have an opportunity to grow with our team and have a direct influence on our product evolution.
Ultimately, inspire the company to reach the next level.
As a mid-level Data Scientis t, we expect you to have: 2 years minimum of work experience and a Master's degree in a science field (informatics engineering, computer science, mathematics, biomedical engineering, physics engineering, etc.) Good understanding of machine learning algorithms and concepts such as convolutional neural networks, recurrent neural networks, transformer architectures, decision trees, boosting, etc.
Good programming knowledge in Python and its math & machine learning packages such as numpy, scikit-learn, pandas/dask, tensorflow/keras, pytorch, etc Experience in developing and deploying machine learning models in a real production environment Experience with Large Language Models and Generative AI is valued Experience with NoSQL, RabbitMQ and Docker is also valued Git versioning control Proficient English With us, you will grow and learn: To improve your scientific thinking To improve your SW engineering practices How to integrate R&D and cutting-edge technology into a Product Python and distributed computing with Celery MLOps concepts and tools To be successful, you must be eager to learn, to be a team player, always aiming for the best solution, proactive problem-solver, and a dreamer!
What you'll get from us: Competitive Salary: Attractive compensation based on your experience and role.
Generous Time Off: Enjoy 22 days of paid annual leave plus 5 extra days.
Flexible Work Options: Hybrid work regime.
Performance Bonuses: Earn bonuses based on your achievements.
Health Benefits: Comprehensive health insurance coverage.
Career Growth: Opportunities for personal and professional development.
Continuous Learning: Access to training programs to enhance your skills.
Supportive Team: Join a dynamic, agile, and expanding team