Machine Learning Engineer > Luminate > Joboolo FR :

We are looking for an experienced Machine Learning Engineer to lead and execute our AI strategy.


In this role, you will play a key role in designing and optimizing machine learning operations to support the development of our next-generation features.


These features include accurate data matching, entity disambiguation, data enrichment, human interaction, and anomaly detection.


This is a unique opportunity to shape the technical direction of a cutting-edge AI project with a global reach.

This is a remote-work position based in France.

You will contribute to a series of high-value features for the company, including:

1. Entity Matching (artists, recordings, works) using internal data:
   
   
   develop and store vector embeddings, establish a training pipeline, and conduct evaluations.


2. Data Extraction from internal and external unstructured or semi-structured sources to enrich, qualify, or improve the reliability of our reference data.


3. Chatbot Development leveraging retrieval-augmented generation (RAG) on datasets built using our in-house Neo4j graph, Google BigQuery, and external unstructured data.


4. Automated Anomaly Detection to identify unreliable data that could impact artist remuneration.
   
   
   While some data is manually flagged as inconsistent, much remains to be uncovered through automation.

1. 5+ years in ML engineering or MLOps, with a strong focus on NLP and large-scale model deployment.


2. Proven ability to implement and maintain production ML systems using Python or Scala, along with libraries such as TensorFlow or PyTorch.


3. Experience in designing and deploying scalable solutions integrated into cloud platforms, particularly Google Cloud Platform (GCP).


4. Expertise in uncovering patterns in text data and developing advanced text analysis techniques.


5. Fluency in English is essential.

1. Experience in building Generative AI models and working with Large Language Models (LLMs).


2. Proficiency in creating and utilizing graph-based embeddings.


3. Knowledge of Google Cloud Platform (GCP).


4. Familiarity with music information retrieval (MIR), music metadata, or cultural analytics is a strong advantage.

1. Full-time French CDI (permanent employment contract).


2. Remote work, based in France.


3. Join a team of passionate professionals with years of experience in the music industry, metadata, publishing, recording, and global identifiers.


4. Work with prestigious clients across the industry, including major music companies, labels, publishers, and metadata providers.