Intership/master Thesis Build Fast Local Ai Apps - Zurich, Schweiz - ELCA Informatique SA

ELCA Informatique SA

Geprüftes Unternehmen

Zurich, Schweiz

vor 1 Woche

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

Job number
1472
Date posted Feb 12, 2024
Job category Software Engineering Level of experience

Job type Full time Employment type

Internship

Work site Zurich Company
About ELCA

We are ELCA, one of the largest Swiss IT tribe with over 2,000 experts. We are multicultural with offices in Switzerland, Spain, France, Vietnam and Mauritius.

Since 1968, our team of engineers, business analysts, software architects, designers and consultants provide tailor-made and standardized solutions to support the digital transformation of major public administrations and private companies in Switzerland.

Our activity spans across multiples fields of leading-edge technologies such as AI, Machine & Deep learning, BI/BD, RPA, Blockchain, IoT and CyberSecurity.

Your role

PostgresML is a PostgreSQL extension, which inverts the current paradigm of continuously moving the data to the Large Language Models (LLM).

Instead, it moves the models to the (local) database.

PostgresML allows you to take advantage of the fundamental relationship between data and models and thus allows for local access to the latest open-source ML & AI algorithms, eg from Huggingface inside the database with a SQL API.

It also provides native language SDKs to access the models as well as support for GPU acceleration.

In this Internship, we want to gain experience with PostgresML and put it in context of other model serving frameworks.

This Internship should also lay the groundwork for follow up projects in the realm of leveraging the potential of open-source LLMs run on-premise.

Learn the features of PostgresML and gain experience with running it on a local machine.
Evaluate the best matching open source local LLM for NER and research possibilities to further train this model.
Compare PostgresML to other model serving frameworks, eg BentoML, mosec or SparkNLP.

Assess the potential for other local NLP uses cases at ELCA and the means needed to implement them, eg embeddings and fine tuning.

Present the results in an ELCA Brownbag session.

Offer:

A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
Personal development through training and coaching
A culture of collaboration across all disciplines
The chance to make a difference in peoples' life by building innovative solutions
High innovation and research backed up by collaboration with universities like EPFL
Various internal coding events (Hackathon, Brownbags), see our technical blog
Monthly After-Works organized per locations
Good work-life balance (2 days per week from home)

Profile:

Holding a technical bachelors degree and/or doing your masters
Basic understanding of ML and LLMs
Basic understanding of SQL, Java, Python