AI Data Scientist (Remote)

Axurians are innovators at heart, driven by a mission to make the internet safer for everyone. Our core values of putting the customer first, taking true ownership, and pursuing smart results define our unique culture. We offer a dynamic and flexible environment where creativity, maturity, and initiative are celebrated. As part of our global, world-class team, you'll collaborate across borders to deliver cutting-edge external cybersecurity solutions. Join us at Axur, where your ideas and expertise will shape the future of digital experiences.

We believe in creating an inclusive hiring experience for everyone. With our fully online selection process, all stages are conducted remotely. If you require any accommodations, please let us know in the application form, where you can indicate any necessary adjustments, and we'll be happy to assist.

Do you have experience with commercial and open-source LMMs  (Large Multimodal Models)? Are you interested in working in a dynamic and collaborative environment focusing on continuous improvement?

We are looking for an AI Data Scientist to join our team, supporting us in developing AI-based prototypes and products that can include generative AI models. An organized, communicative, and proactive person willing to analyze data in various formats, build data processing pipelines, and develop ML/AI models that deliver valuable insights to end users. And you can work remotely from anywhere in the world!

A typical workday might include:

• Developing prototypes and AI-powered products using both generative and non-generative AI models;
• Analyzing and processing data in different formats (text, tables, images, scripts in various programming languages, etc.);
• Designing and implementing data pipelines for ML/AI models;
• Training (fine-tuning) and deploying generative AI models for inference;
• Contributing to AI-driven solutions, such as:
• AI models for detecting vulnerabilities in code;
• AI models for analyzing data breaches and identifying cases impacting customers.

Indispensable Requirements:

• Bachelor's degree in an exact sciences field;
• Strong knowledge of statistics, Python, and machine learning, including generative AI models;
• Experience with LMMs, both commercial and open-source;
• Experience in training (fine-tuning) and using (inference, prompt engineering) multi-modal generative AI models;
• Fluency in English and Portuguese.

Additional Qualifications:

• Experience in cybersecurity;
• Experience with AWS services (beyond machine learning), Docker, and inference frameworks (especially vLLM);
• Postgraduate degree in machine learning or a related field with ML applications.