TITLE PROJECT/TRAINEE

About Lilo We’re building AI-solutions to automate how companies buy their supplies.
US-based Startup, backed by top-tier Silicon Valley investors.
Co-founded by Stanford alumni and seasoned entrepreneurs Nadine and Javier, with experience in hospitality and technology.
Lilo cuts procurement times by over 50%, by unifying suppliers and processes on one platform.
Trusted by Marriotts, Holiday Inns, Fairfields, and many more.
Multi-cultural team with global mindset.
We are creating the most hassle-free procurement platform on the planet.
We want to empower our customers to streamline their operations, boost their profits, and free up valuable time for what really matters.
their guests.
Key Responsibilities We are seeking a Project Trainee with a passion for artificial intelligence and large language models (LLMs).
This role is ideal for students or recent graduates with experience in Python and a foundational understanding of AI systems.
As a trainee, you will engage in state-of-the-art research, design data processing pipelines using LLMs, and contribute to improving our AI workflows.
This is a great opportunity to gain hands-on experience in AI/ML projects and work with cutting-edge technologies.
Conduct research on the latest LLM algorithms and related technologies.
Design, code, and automate pipelines for data processing using large language models.
Test, improve, and extend our existing pipelines and libraries to enhance performance and scalability.
Curate, revise, and label data for building high-quality training datasets.
Collaborate with the team to ensure smooth integration of LLM technologies into our projects.
Required Skills and Qualifications Python programming skills with the ability to write clean and efficient code.
C1 or higher proficiency in English, both written and spoken.
Foundational understanding of AI systems and interest in machine learning technologies.
Current enrollment in or completion of courses such as ICM, IIC, IIC, or similar AI/ML courses.
Nice to Have (Preferred Qualifications) Knowledge of Natural Language Processing (NLP) and large language models.
Familiarity with Hugging Face tools and libraries.
Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Git version control knowledge for collaborative coding.
Experience with AWS for cloud computing and model deployment.
Conditions