Vesperia is assisting a client for the recruitment of one (or more):
Python Artificial Intelligence developer (m/f)
Let's revolutionize customer service with next-generation AI
Here's the mission: building a cutting-edge neural network that'll learn from the thousands of calls we handle every day. Imagine an AI that can identify promising leads, tag customers who might need a little extra tender loving care, and pinpoint upselling opportunities – all in real time. Sounds amazing, right?
Are you ready to push boundaries and break new ground in AI ?
You might not be an expert yet, but you've got the passion and drive to become one.
You're not afraid of challenges and are always eager to learn and grow.
Here's a list of software that would be beneficial for candidates to have some familiarity with.
Basic understanding or a keen interest in learning them would be perfectly acceptable.
Python: This programming language is a must, given its widespread use in AI and machine learning applications.- TensorFlow/PyTorch: These are two of the most popular libraries for machine learning and deep learning.
- Keras: This is a high-level neural networks API, written in Python and capable of running on top of TensorFlow.
- Scikit-learn: This is a free software machine learning library for Python.
- Pandas: This is a software library written for data manipulation and analysis in Python.
- Langchain: This is a high-level API for interaction with a number of language models.
- Mivus/Chroma/pgvector: Databases for storing vector data relevant for LLM augmentation. The postgres extension pgvector adds vector indexing to traditional DBs.
- SQL/NoSQL databases: Knowledge of databases is essential for handling and storing large volumes of data.
- Linux: Proficiency in Linux is beneficial for system administration and managing server environments.
- Jupyter Notebooks: This is an open-source web application that allows creation and sharing of documents containing live code, equations, visualizations, and narrative text.
- GitHub: Knowledge of version control, particularly Git and platforms like GitHub, is crucial for collaborative projects.
- Cloud platforms: Familiarity with cloud platforms like AWS, Google Cloud, or Azure can be very helpful, as these are often used for training large-scale machine learning models.
- Being up-to-date with the rapid development of LLM solutions and their APIs (OpenAI, PaLM, Llama, Bedrock) and their open source rivals (StableLM, Mosaic MPT, Open Vicuna, GPT-J, etc)
No remote. Job is on site in Luxembourg.
Interested? Apply today.
